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| delivery route optimization algorithm: Handbook of Mixed Membership Models and Their Applications Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg, 2014-11-06 Incorporating more than 20 years of the editors' and contributors' statistical work in mixed membership modeling, this handbook shows how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology. Through examples using real data sets, readers will discover how to characterize complex multivariate data in a range of areas. |
| delivery route optimization algorithm: Theory and Engineering of Complex Systems and Dependability Wojciech Zamojski, Jacek Mazurkiewicz, Jarosław Sugier, Tomasz Walkowiak, Janusz Kacprzyk, 2015-06-09 Building upon a long tradition of scientifi c conferences dealing with problems of reliability in technical systems, in 2006 Department of Computer Engineering at Wrocław University of Technology established DepCoS-RELCOMEX series of events in order to promote a comprehensive approach to evaluation of system performability which is now commonly called dependability. Contemporary complex systems integrate variety of technical, information, soft ware and human (users, administrators and management) resources. Their complexity comes not only from involved technical and organizational structures but mainly from complexity of information processes that must be implemented in specific operational environment (data processing, monitoring, management, etc.). In such a case traditional methods of reliability evaluation focused mainly on technical levels are insufficient and more innovative, multidisciplinary methods of dependability analysis must be applied. Selection of submissions for these proceedings exemplify diversity of topics that must be included in such analyses: tools, methodologies and standards for modelling, design and simulation of the systems, security and confidentiality in information processing, specific issues of heterogeneous, today often wireless, computer networks, or management of transportation networks. In addition, this edition of the conference hosted the 5th CrISS-DESSERT Workshop devoted to the problems of security and safety in critical information systems. |
| delivery route optimization algorithm: The Vehicle Routing Problem: Latest Advances and New Challenges Bruce L. Golden, S. Raghavan, Edward A. Wasil, 2008-07-20 In a unified and carefully developed presentation, this book systematically examines recent developments in VRP. The book focuses on a portfolio of significant technical advances that have evolved over the past few years for modeling and solving vehicle routing problems and VRP variations. Reflecting the most recent scholarship, this book is written by one of the top research scholars in Vehicle Routing and is one of the most important books in VRP to be published in recent times. |
| delivery route optimization algorithm: Dynamic Fleet Management Vasileios S. Zeimpekis, Christos D. Tarantilis, George M. Giaglis, Ioannis E. Minis, 2007-10-05 This book focuses on real time management of distribution systems, integrating the latest results in system design, algorithm development and system implementation to capture the state-of-the art research and application trends. The book important topics such as goods dispatching, couriers, rescue and repair services, taxi cab services, and more. The book includes real-life case studies that describe the solution to actual distribution problems by combining systemic and algorithmic approaches. |
| delivery route optimization algorithm: Graph Theory: Binary Optimization N.B. Singh, Graph Theory: Binary Optimization introduces fundamental graph theory concepts and their practical applications in binary optimization. This beginner-friendly book explains how graphs model real-world problems like network design and scheduling, equipping readers with essential skills in optimization techniques. |
| delivery route optimization algorithm: The Vehicle Routing Problem Paolo Toth, 2002 |
| delivery route optimization algorithm: Quantum Computing and Supply Chain Management: A New Era of Optimization Hassan, Ahdi, Bhattacharya, Pronaya, Dutta, Pushan Kumar, Verma, Jai Prakash, Kundu, Neel Kanth, 2024-07-23 Today's supply chains are becoming more complex and interconnected. As a result, traditional optimization engines struggle to cope with the increasing demands for real-time order fulfillment and inventory management. With the expansion and diversification of supply chain networks, these engines require additional support to handle the growing complexity effectively. This poses a significant challenge for supply chain professionals who must find efficient and cost-effective solutions to streamline their operations and promptly meet customer demands. Quantum Computing and Supply Chain Management: A New Era of Optimization offers a transformative solution to these challenges. By harnessing the power of quantum computing, this book explores how supply chain planners can overcome the limitations of traditional optimization engines. Quantum computing's ability to process vast amounts of data from IoT sensors in real time can revolutionize inventory management, resource allocation, and logistics within the supply chain. It provides a theoretical framework and practical examples to illustrate how quantum algorithms can enhance transparency, optimize dynamic inventory allocation, and improve supply chain resilience. |
| delivery route optimization algorithm: Smart Delivery Systems Jakub Nalepa, 2019-11-21 Smart Delivery Systems: Solving Complex Vehicle Routing Problems examines both exact and approximate methods for delivering optimal solutions to rich vehicle routing problems, showing both the advantages and disadvantages of each approach. It shows how to apply machine learning and advanced data analysis techniques to improve routing systems, familiarizing readers with the concepts and technologies used in successfully implemented delivery systems. The book explains both the latest theoretical and practical advances in intelligent delivery and scheduling systems and presents practical applications for designing new algorithms for real-life scenarios. |
| delivery route optimization algorithm: HCI in Mobility, Transport, and Automotive Systems. Driving Behavior, Urban and Smart Mobility Heidi Krömker, 2020-07-10 This two-volume set LNCS 12212 and 12213 constitutes the refereed proceedings of the Second International Conference on HCI in Mobility, Transport, and Automotive Systems, MobiTAS 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, in Copenhagen, Denmark, in July, 2020.* A total of 1439 full papers and 238 posters have been carefully reviewed and accepted for publication in HCII 2020. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. MobiTAS 2020 includes a total of 59 papers and they are organized in the following topical sections: Part I, Automated Driving and In-Vehicle Experience Design: UX topics in automated driving, and designing in-vehicle experiences. Part II, Driving Behavior, Urban and Smart Mobility: studies on driving behavior, and urban and smart mobility. *The conference was held virtually due to the COVID-19 pandemic. |
| delivery route optimization algorithm: Intelligent Computing Theories and Application De-Shuang Huang, Vitoantonio Bevilacqua, Prashan Premaratne, Phalguni Gupta, 2018-08-08 This two-volume set LNCS 10954 and LNCS 10955 constitutes - in conjunction with the volume LNAI 10956 - the refereed proceedings of the 14th International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018. The 275 full papers and 72 short papers of the three proceedings volumes were carefully reviewed and selected from 632 submissions. The papers are organized in topical sections such as Neural Networks.- Pattern Recognition.- Image Processing.- Intelligent Computing in Robotics.- Intelligent Control and Automation.- Intelligent Data Analysis and Prediction.- Fuzzy Theory and Algorithms.- Supervised Learning.- Unsupervised Learning.- Kernel Methods and Supporting Vector Machines.- Knowledge Discovery and Data Mining.- Natural Language Processing and Computational Linguistics.- Gene Expression Array Analysis.- Systems Biology.- Computational Genomics.- Computational Proteomics.- Gene Regulation Modeling and Analysis.- Protein-Protein Interaction Prediction.- Next-Gen Sequencing and Metagenomics.- Structure Prediction and Folding.- Evolutionary Optimization for Scheduling.- High-Throughput Biomedical Data Integration and Mining.- Machine Learning Algorithms and Applications.- Heuristic Optimization Algorithms for Real-World Applications.- Evolutionary Multi-Objective Optimization and Its Applications.- Swarm Evolutionary Algorithms for Scheduling and Combinatorial.- Optimization.- Swarm Intelligence and Applications in Combinatorial Optimization.- Advances in Metaheuristic Optimization Algorithm.- Advances in Image Processing and Pattern Recognition Techniques.- AI in Biomedicine.- Bioinformatics.- Biometrics Recognition.- Information Security.- Virtual Reality and Human-Computer Interaction.- Healthcare Informatics Theory and Methods.- Intelligent Computing in Computer Vision.- Intelligent Agent and Web Applications.- Reinforcement Learning.- Machine Learning.- Modeling, Simulation, and Optimization of Biological Systems.- Biomedical Data Modeling and Mining.- Cheminformatics.- Intelligent Computing in Computational Biology.- Protein Structure and Function Prediction.- Biomarker Discovery.- Hybrid Computational Intelligence: Theory and Application in Bioinformatics, Computational Biology and Systems Biology.- IoT and Smart Data.- Intelligent Systems and Applications for Bioengineering.- Evolutionary Optimization: Foundations and Its Applications to Intelligent Data Analytics.- Protein and Gene Bioinformatics: Analysis, Algorithms and Applications. |
| delivery route optimization algorithm: Algorithms Sushil C. Dimri, Abhay Saxena, Bhuvan Unhelkar, Akshay Kumar, 2024-06-17 Algorithms are ubiquitous in the contemporary technological world, and they ultimately consist of finite sequences of instructions used to accomplish tasks with necessary input values. This book analyses the top performing algorithms in areas as diverse as Big Data, Artificial Intelligence, Optimization Techniques and Cloud & Cyber Security Systems in order to explore their power and limitations. |
| delivery route optimization algorithm: Smart Delivery Systems Jakub Nalepa, 2019-11-15 Smart Delivery Systems: Solving Complex Vehicle Routing Problems examines both exact and approximate methods for delivering optimal solutions to rich vehicle routing problems, showing both the advantages and disadvantages of each approach. It shows how to apply machine learning and advanced data analysis techniques to improve routing systems, familiarizing readers with the concepts and technologies used in successfully implemented delivery systems. The book explains both the latest theoretical and practical advances in intelligent delivery and scheduling systems and presents practical applications for designing new algorithms for real-life scenarios. - Emphasizes both sequential and parallel algorithms - Uniquely combines methods and algorithms, real-life applications, and parallel computing - Includes recommendations on how to choose between different methods for solving applications - Provides learning aids, end of chapter references, bibliography, worked examples and exercises |
| delivery route optimization algorithm: Tenth International Conference on Applications and Techniques in Cyber Intelligence (ICATCI 2022) Jemal H. Abawajy, Zheng Xu, Mohammed Atiquzzaman, Xiaolu Zhang, 2023-03-29 This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users. |
| delivery route optimization algorithm: The Hitchhiker's Guide to Machine Learning Algorithms Devin Schumacher, Francis LaBounty Jr., 2023-07-26 Hello humans & welcome to the world of machines! Specifically, machine learning & algorithms. We are about to embark on an exciting adventure through the vast and varied landscape of algorithms that power the cutting-edge field of artificial intelligence. Machine learning is changing the world as we know it. From predicting stock market trends and diagnosing diseases to powering the virtual assistants in our smartphones and enabling self-driving cars, and picking up the slack on your online dating conversations. What makes this book unique is its structure and depth. With 100 chapters, each dedicated to a different machine learning concept, this book is designed to be your ultimate guide to the world of machine learning algorithms. Whether you are a student, a data science professional, or someone curious about machine learning, this book aims to provide a comprehensive overview that is both accessible and in-depth. The algorithms covered in this book span various categories including: Classification & Regression: Learn about algorithms like Decision Trees, Random Forests, Support Vector Machines, and Logistic Regression which are used to classify data or predict numerical values. Clustering: Discover algorithms like k-Means, Hierarchical Clustering, and DBSCAN that group data points together based on similarities. Neural Networks & Deep Learning: Dive into algorithms and architectures like Perceptrons, Convolutional Neural Networks (CNN), and Long Short-Term Memory Networks (LSTM). Optimization: Understand algorithms like Gradient Descent, Genetic Algorithms, and Particle Swarm Optimization which find the best possible solutions in different scenarios. Ensemble Methods: Explore algorithms like AdaBoost, Gradient Boosting, and Random Forests which combine the predictions of multiple models for improved accuracy. Dimensionality Reduction: Learn about algorithms like Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE) which reduce the number of features in a dataset while retaining important information. Reinforcement Learning: Get to know algorithms like Q-learning, Deep Q-Network (DQN), and Monte Carlo Tree Search which are used in systems that learn from their environment. Each chapter is designed as a standalone introduction to its respective algorithm. This means you can start from any chapter that catches your interest or proceed sequentially. Along with the theory, practical examples, applications, and insights into how these algorithms work under the hood are provided. This book is not just an academic endeavor but a bridge that connects theory with practical real-world applications. It's an invitation to explore, learn, and harness the power of algorithms to solve complex problems and make informed decisions. Fasten your seat belts as we dive into the mesmerizing world of machine learning algorithms. Whether you are looking to expand your knowledge, seeking inspiration, or in pursuit of technical mastery, this book should sit on your coffee table and make you look intelligent in front of all invited (and uninvited) guests. |
| delivery route optimization algorithm: Ecosystem Assessment and Fuzzy Systems Management Bing-Yuan Cao, Sheng-Quan Ma, Hu-hua Cao, 2014-01-25 “Ecosystem Assessment and Fuzzy Systems Management” is the edited outcome of the 3rd International Conference on Ecosystem Assessment Management (ICEAM) and the Workshop on the Construction of an Early Warning Platform for Eco-tourism (WCEWPE) in Hainan on May 5-12, 2013, Haikou, China. The 3rd ICEAM and the WCEWPE, built on the success of previous conferences, are major Symposiums for scientists, engineers and logistic management researchers presenting their the latest achievements, developments and applications in all areas of Ecosystem Assessment Management, Early Warning Platform for Eco-tourism and fuzziology. It aims to strengthen relations between industry research laboratories and universities, and to create a primary symposium for world scientists. The book, containing 47 papers, is divided into five parts: “Ecosystem Assessment, Management and Information”; “Intelligent Algorithm, Fuzzy Optimization and Engineering Application”; “Spatial Data Analysis and Intelligent Information Processing”; “Tourism Culture, Development and Planning” and “Application of Operations Research and Fuzzy Systems”. |
| delivery route optimization algorithm: Vehicle Routing Paolo Toth, Daniele Vigo, 2014-12-05 Vehicle routing problems, among the most studied in combinatorial optimization, arise in many practical contexts (freight distribution and collection, transportation, garbage collection, newspaper delivery, etc.). Operations researchers have made significant developments in the algorithms for their solution, and Vehicle Routing: Problems, Methods, and Applications, Second Edition reflects these advances. The text of the new edition is either completely new or significantly revised and provides extensive and complete state-of-the-art coverage of vehicle routing by those who have done most of the innovative research in the area; it emphasizes methodology related to specific classes of vehicle routing problems and, since vehicle routing is used as a benchmark for all new solution techniques, contains a complete overview of current solutions to combinatorial optimization problems. It also includes several chapters on important and emerging applications, such as disaster relief and green vehicle routing. |
| delivery route optimization algorithm: Artificial Intelligence and Computational Intelligence Hepu Deng, Duoqian Miao, Jingsheng Lei, Fu Lee Wang, 2011-09-12 This three-volume proceedings contains revised selected papers from the Second International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011, held in Taiyuan, China, in September 2011. The total of 265 high-quality papers presented were carefully reviewed and selected from 1073 submissions. The topics of Part I covered are: applications of artificial intelligence; applications of computational intelligence; automated problem solving; biomedical inforamtics and computation; brain models/cognitive science; data mining and knowledge discovering; distributed AI and agents; evolutionary programming; expert and decision support systems; fuzzy computation; fuzzy logic and soft computing; and genetic algorithms. |
| delivery route optimization algorithm: Nature-Inspired Computation in Navigation and Routing Problems Xin-She Yang, Yu-Xin Zhao, 2020-02-19 This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these methods with traditional algorithms to validate the approach for the case studies discussed. Further, it examines the design of alternative solutions using nature-inspired techniques, and explores the challenges of navigation and routing problems and nature-inspired metaheuristic approaches. |
| delivery route optimization algorithm: Metaheuristic and Machine Learning Optimization Strategies for Complex Systems R., Thanigaivelan, M., Suchithra, S., Kaliappan, Mothilal, T., 2024-07-17 In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about hyper-heuristic models, hybrid meta-heuristic models, nature-inspired computing models, and meta-heuristic models. The key contribution of this book is the construction of a hyper-heuristic approach for any general problem domain from a meta-heuristic algorithm. Covering topics such as cloud computing, internet of things, and performance evaluation, this book is an essential resource for researchers, postgraduate students, educators, data scientists, machine learning engineers, software developers and engineers, policy makers, and more. |
| delivery route optimization algorithm: Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) Abdul Rauf, Norhayati Zakuan, Muhammad Tayyab Sohail, Ruzita Azmi, 2023-11-06 This is an open access book.The 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) is to be held on July 21-23, 2023 at Qingdao, China. ICMSSE is China's annual conference since 2021. It was held in Chengdu, Chongqing from 2021 to 2022. Every year, there are many attendees from Asia, Europe, America, etc., and quite a few well-known experts give plenary speeches. Management science and engineering is a discipline that comprehensively uses systems science, management science, mathematics, economics and behavioral science and engineering methods, combined with information technology to study and solve management problems in society, economy, engineering and other aspects. In addition to the current situation of management science at home and abroad discussed in the first two sessions, this session realized that with the development of science and technology, the intersection of disciplines, coupled with the continuous expansion of the field of management science and engineering research, for online risk management (ERB, BRP system) and virtual organizations, virtual enterprises, etc., will become the focus of management science and engineering research in the future. This conference will also conduct in-depth research on these aspects, hoping to further promote the economic development of enterprises and provide them for their development. more clear direction and guidance. |
| delivery route optimization algorithm: Combinatorial Optimization and Applications Weili Wu, Zhongnan Zhang, 2020-12-04 This volume constitutes the proceedings of the 14th International Conference on Combinatorial Optimization and Applications, COCOA 2020, held in Dallas, TX, USA, in December 2020. The 55 full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers are grouped into the following topics: Approximation Algorithms; Scheduling; Network Optimization; Complexity and Logic; Search, Facility and Graphs; Geometric Problem; Sensors, Vehicles and Graphs; and Graph Problems. Due to the Corona pandemic this event was held virtually. |
| delivery route optimization algorithm: Models for Practical Routing Problems in Logistics S. P. Anbuudayasankar, K. Ganesh, Sanjay Mohapatra, 2014-07-08 This book deals with complex variants of Travelling Salesman Problem (TSP) and Vehicle Routing Problem (VRP) within the manufacturing and service industries. The objective is to develop heuristics for these supply chain problems in order to offer practical solutions to improve operational efficiency. These heuristics are evaluated using benchmark and derived data-sets. Case studies pertaining to logistics in different industries including textile machinery manufacturing and banking are also included to demonstrate the created heuristics. High competition in today’s global market has forced the organizations to invest in and focus on their logistics system. The critical function of logistics is the transportation within and across various supply chain entities. Both supply and distribution procedure require effective transportation management. A small improvement in routing problems can lead to huge logistics savings in absolute terms. This book should appeal to executives, researchers and consultants seeking supply chain management solutions. |
| delivery route optimization algorithm: Advanced methods, equipment and platforms in precision field crops protection Jun Ni, Yubin Lan, Baijing Qiu, Jingcheng Zhang, Peter Yuen, 2023-05-18 |
| delivery route optimization algorithm: Multifaceted approaches for Data Acquisition, Processing & Communication Chinmay Chakraborty, Manisha Guduri, B Sandhya, K Shyamala, 2024-06-24 The objective of the conference is to bring to focus the recent technological advancements across all the stages of data analysis including acquisition, processing, and communication. Advancements in acquisition sensors along with improved storage and computational capabilities, have stimulated the progress in theoretical studies and state-of-the-art real-time applications involving large volumes of data. This compels researchers to investigate the new challenges encountered, where traditional approaches are incapable of dealing with large, complicated new forms of data. |
| delivery route optimization algorithm: Proceedings of the 2022 2nd International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2022) Youbin Chen, Marcus T. Anthony, Yan Ke, 2023-02-10 This is an open access book. ICMETSS 2022 is to bring together innovative academics and industrial experts in the field of Innovation in Teaching & Learning , Technology-Enhanced Learning in the Digital Era and Integrating Educational Technologies. The primary goal of the conference is to promote research and developmental activities in Innovations in educational technology in the digital age and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Innovations in educational technology in the digital age and related areas. |
| delivery route optimization algorithm: Artificial Neural Nets and Genetic Algorithms Vera Kurkova, Nigel C. Steele, Roman Neruda, Miroslav Karny, 2013-11-11 The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Net works and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. The meeting attracted researchers from all over Europe and further afield, who decided that this particular blend of topics should form a theme for a series of biennial conferences. The second meeting, held in Ales, France, in 1995, carried on the tradition set in Innsbruck of a relaxed and stimulating environment for the. exchange of ideas. The series has continued in Norwich, UK, in 1997, and Portoroz, Slovenia, in 1999. The Institute of Computer Science, Czech Academy of Sciences, is pleased to host the fifth conference in Prague. We have chosen the Liechtenstein palace under the Prague Castle as the conference site to enhance the traditionally good atmosphere of the meeting. There is an inspirational genius loci of the historical center of the city, where four hundred years ago a fruitful combination of theoretical and empirical method, through the collaboration of Johannes Kepler and Tycho de Brahe, led to the discovery of the laws of planetary orbits. |
| delivery route optimization algorithm: AI Strategies For Web Development Anderson Soares Furtado Oliveira, 2024-09-30 From fundamental to advanced strategies, unlock useful insights for creating innovative, user-centric websites while navigating the evolving landscape of AI ethics and security Key Features Explore AI's role in web development, from shaping projects to architecting solutions Master advanced AI strategies to build cutting-edge applications Anticipate future trends by exploring next-gen development environments, emerging interfaces, and security considerations in AI web development Purchase of the print or Kindle book includes a free PDF eBook Book Description If you're a web developer looking to leverage the power of AI in your projects, then this book is for you. Written by an AI and ML expert with more than 15 years of experience, AI Strategies for Web Development takes you on a transformative journey through the dynamic intersection of AI and web development, offering a hands-on learning experience.The first part of the book focuses on uncovering the profound impact of AI on web projects, exploring fundamental concepts, and navigating popular frameworks and tools. As you progress, you'll learn how to build smart AI applications with design intelligence, personalized user journeys, and coding assistants. Later, you'll explore how to future-proof your web development projects using advanced AI strategies and understand AI's impact on jobs. Toward the end, you'll immerse yourself in AI-augmented development, crafting intelligent web applications and navigating the ethical landscape.Packed with insights into next-gen development environments, AI-augmented practices, emerging realities, interfaces, and security governance, this web development book acts as your roadmap to staying ahead in the AI and web development domain. What you will learn Build AI-powered web projects with optimized models Personalize UX dynamically with AI, NLP, chatbots, and recommendations Explore AI coding assistants and other tools for advanced web development Craft data-driven, personalized experiences using pattern recognition Architect effective AI solutions while exploring the future of web development Build secure and ethical AI applications following TRiSM best practices Explore cutting-edge AI and web development trends Who this book is for This book is for web developers with experience in programming languages and an interest in keeping up with the latest trends in AI-powered web development. Full-stack, front-end, and back-end developers, UI/UX designers, software engineers, and web development enthusiasts will also find valuable information and practical guidelines for developing smarter websites with AI. To get the most out of this book, it is recommended that you have basic knowledge of programming languages such as HTML, CSS, and JavaScript, as well as a familiarity with machine learning concepts. |
| delivery route optimization algorithm: Ant Colony Optimization and Swarm Intelligence Directeur de Recherches Du Fnrs Marco Dorigo, Marco Dorigo, Mauro Birattari, Christian Blum, Luca M. Gambardella, Francesco Mondada, Thomas Stützle, 2004-08-19 This book constitutes the refereed proceedings of the 4th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2004, held in Brussels, Belgium in September 2004. The 22 revised full papers, 19 revised short papers, and 9 poster abstracts presented were carefully reviewed and selected from 79 papers submitted. The papers are devoted to theoretical and foundational aspects of ant algorithms, ant colony optimization and swarm intelligence and deal with a broad variety of optimization applications in networking and operations research. |
| delivery route optimization algorithm: Mastering Data Structures with Python Aditya Pratap Bhuyan, 2024-09-14 Mastering Data Structures with Python: A Practical Guide offers a comprehensive journey through the essential concepts of data structures, all within the practical framework of Python. Designed for both beginners and experienced programmers, this book provides a thorough understanding of the data structures that are critical to writing efficient, high-performance algorithms. The book begins with a solid introduction to fundamental data structures like arrays, linked lists, stacks, and queues, before moving on to more complex structures such as trees, graphs, and heaps. Each data structure is broken down with easy-to-understand explanations, step-by-step walkthroughs, and Python code examples that bring theory to life. The clear, practical approach ensures that readers can apply what they've learned in real-world programming situations. In addition to covering these essential structures, the book also focuses on the efficiency and performance of algorithms, teaching you how to analyze time and space complexity using Big O notation. This understanding is crucial for writing code that scales and performs well under pressure, a skill that's highly sought after in technical interviews and real-world development. The book goes beyond theory, showcasing real-world applications of data structures in Python, such as how to use them to optimize search algorithms, build complex networks, and manage large datasets. With a focus on practical problem-solving, you'll also learn tips and tricks for optimizing code, managing memory efficiently, and implementing the right data structures for various tasks. Whether you’re a student preparing for coding interviews, a developer wanting to sharpen your skills, or simply curious about data structures, Mastering Data Structures with Python serves as a valuable guide. It’s not just about learning Python—it’s about mastering the art of programming itself. |
| delivery route optimization algorithm: Network Models and Optimization Mitsuo Gen, Runwei Cheng, Lin Lin, 2008-07-10 Network models are critical tools in business, management, science and industry. “Network Models and Optimization” presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. The book extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, traveling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. The book can be used both as a student textbook and as a professional reference for practitioners who use network optimization methods to model and solve problems. |
| delivery route optimization algorithm: Proceedings of the Eleventh International Forum on Decision Sciences Xiang Li, |
| delivery route optimization algorithm: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero, 2021-09-01 The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online. |
| delivery route optimization algorithm: Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1 Mohammed Atiquzzaman, Neil Yen, Zheng Xu, 2023-07-04 This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems. |
| delivery route optimization algorithm: Web, Artificial Intelligence and Network Applications Leonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, Makoto Takizawa, 2020-03-30 This proceedings book presents the latest research findings, and theoretical and practical perspectives on innovative methods and development techniques related to the emerging areas of Web computing, intelligent systems and Internet computing. The Web has become an important source of information, and techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play a key role in many of today's major Web applications, such as e-commerce and computer security. Moreover, Web services provide a new platform for enabling service-oriented systems. The emergence of large-scale distributed computing paradigms, such as cloud computing and mobile computing systems, has opened many opportunities for collaboration services, which are at the core of any information system. Artificial intelligence (AI) is an area of computer science that builds intelligent systems and algorithms that work and react like humans. AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning, and they have the potential to become enabling technologies for future intelligent networks. Research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences is vital for the future development and innovation of Web and Internet applications. Chapter An Event-Driven Multi Agent System for Scalable Traffic Optimization is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
| delivery route optimization algorithm: E-Commerce Big Data Mining and Analytics Jie Cao, 2023 This book seeks to give readers with a preliminary but critical introduction and summary of e-commerce and big data analysis. This book introduces how to achieve data acquisition and pre-processing. Specifically, this book provides three representative and interesting scenarios to demonstrate the application of e-commerce and big data analysis, i.e., trajectory big data mining technology, e-commerce fraud and anti-fraud, and recommendation system. Also this book provides the basic and illustrative operation steps of python programming language for e-commerce and big data analysis. By reading this book, readers can learn the basic concepts and principles of e-commerce and big data analysis. |
| delivery route optimization algorithm: 2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021) Zhenyuan Zhang, 2022-05-31 This book features high-quality, peer-reviewed papers from the 2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021), held in Beijing, China, on October 29–31, 2021. Presenting the latest developments and technical solutions in Intelligent Transportation engineering, it covers a variety of topics, such as intelligent transportation, traffic control, road networking, intelligent automobile and vehicle operation & management. The book will be a valuable reference for graduate and postgraduate audiences, researchers and engineers, working in Intelligent Transportation Engineering. |
| delivery route optimization algorithm: Developing Solutions for Microsoft Azure AZ-204 Exam Guide Paul Ivey, Alex Ivanov, 2024-05-16 Uncover the fundamental elements for developing and maintaining cloud-based solutions on Azure Key Features Written by Microsoft technical trainers, to help you explore exam topics in a structured way Understand the why, and not just how behind design and solution decisions Learn Azure development principles with online exam preparation materials Purchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, exam tips, and the eBook pdf Book DescriptionGet ready to delve into Microsoft Azure and build efficient cloud-based solutions with this updated second edition. Authored by seasoned Microsoft trainers, Paul Ivey and Alex Ivanov, this book offers a structured approach to mastering the AZ-204 exam topics while focusing on the intricacies of Azure development. You’ll familiarize yourself with cloud fundamentals, understanding the core concepts of Azure and various cloud models. Next, you’ll gain insights into Azure App Service web apps, containers and container-related services in Azure, Azure Functions, and solutions using Cosmos DB and Azure Blob Storage. Later, you'll learn how to secure your cloud solutions effectively as well as how to implement message- and event-based solutions and caching. You’ll also explore how to monitor and troubleshoot your solutions effectively. To build on your skills, you’ll get hands-on with monitoring, troubleshooting, and optimizing Azure applications, ensuring peak performance and reliability. Moving ahead, you’ll be able to connect seamlessly to third-party services, harnessing the power of API management, event-based solutions, and message-based solutions. By the end of this MS Azure book, you'll not only be well-prepared to pass the AZ-204 exam but also be equipped with practical skills to excel in Azure development projects.What you will learn Identify cloud models and services in Azure Develop secure Azure web apps and host containerized solutions in Azure Implement serverless solutions with Azure Functions Utilize Cosmos DB for scalable data storage Optimize Azure Blob storage for efficiency Securely store secrets and configuration settings centrally Ensure web application security with Microsoft Entra ID authentication Monitor and troubleshoot Azure solutions Who this book is for Whether you're looking to validate your existing skills or enhance your Azure knowledge, this comprehensive guide offers a structured approach to mastering key concepts and passing the AZ-204 certification exam. It will be beneficial to have at least one year of Azure development experience and proficiency in at least one Azure-supported programming language to get the most out of this book. Additionally, familiarity with Azure CLI and PowerShell will also be helpful. |
| delivery route optimization algorithm: Advances in Artificial Systems for Logistics Engineering Zhengbing Hu, Qingying Zhang, Sergey Petoukhov, Matthew He, 2022-04-28 The book comprises high-quality refereed research papers presented at the Second International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2022), held in Kyiv, Ukraine, on February 20–22, 2022, organized jointly by the National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute, Wuhan University of Technology, Nanning University, National Aviation University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in artificial intelligence and its applications in logistics engineering. |
| delivery route optimization algorithm: Developments in Information & Knowledge Management for Business Applications Natalia Kryvinska, Aneta Poniszewska-Marańda, 2021-08-15 This book provides practical knowledge on different aspects of information and knowledge management in businesses. In contemporary unstable time, enterprises/businesses deal with various challenges—such as large-scale competitions, high levels of uncertainty and risk, rush technological advancements, while increasing customer requirements. Thus, businesses work continually on improving efficiency of their operations and resources towards enabling sustainable solutions based on the knowledge and information accumulated previously. Consequently, this third volume of our subline persists to highlight different approaches of handling enterprise knowledge/information management directing to the importance of unceasing progress of structural management for the steady growth. We look forward that the works of this volume can encourage and initiate further research on this topic. |
| delivery route optimization algorithm: Computer Supported Cooperative Work and Social Computing Yuqing Sun, Dongning Liu, Hao Liao, Hongfei Fan, Liping Gao, 2021-05-06 This book constitutes the refereed post-conference proceedings of the 15th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2020, held in Shenzhen, China, in November 2020. The 40 revised full papers and 15 revised short papers were carefully reviewed and selected from 137 submissions. The papers of this volume are organized in topical sections on: crowdsourcing, crowd intelligence, and crowd cooperative computing; domain-specific collaborative applications; collaborative mechanisms, models, approaches, algorithms, and systems; social media and online communities; and short papers. |
Real-Time Route Optimization in Logistics: A Deep Learning …
In this paper, we present a comprehensive deep learning framework that integrates time-series forecasting with reinforcement learning to generate and adjust optimal logistics routes in real …
Delivery Route Optimization Using Dijkstra’s Algorithm for the ...
Abstract: This paper presents an optimized delivery route planning system using a hybrid approach of Dijkstra’s algorithm and heuristic methods to address the Travelling Salesman …
Automated Route Optimization and Delivery Scheduling …
Various AI algorithms commonly employed for route optimization, such as Genetic Algorithms, Ant Colony Optimization, and Reinforcement Learning, are discussed, along with their respective …
Optimising Delivery Routes Under Real-World Constraints: A …
We examine each algorithm to create the best possible route plans for delivery trucks using actual data. Several factors are employed to assess each algorithm’s performance, including …
Logistics Distribution Route Optimization in Artificial …
logistics industry with an innovative route optimization framework that combines the latest technological advances to help improve the efficiency and reliability of the entire logistics system.
Optimizing Delivery Routes for Company Logistics
Therefore, Dijkstra's Algorithm and C-W Savings Algorithm can solve the unreasonable transportation problems of the logistics companies such as roundabout distribution and …
Study on Delivery Route Optimization Based on Improved …
This passage reviewed the basic theory and algorithm of the delivery route optimization problem and established a mathematical model of the corresponding problem. This passage discussed …
Take out route optimization based on optimized immune …
Hui studied the path optimization of university campus canteen takeout delivery by using the improved genetic algorithm, and established a mathematical model with the shortest delivery …
Dynamic Route Optimization in Last-Mile Delivery Using …
This study seeks to address the inefficiencies in last-mile delivery by introducing a dynamic route optimization model that leverages the power of predictive analytics. The goal is to develop a …
Meal delivery routing optimization with order allocation …
Based on order combination and splitting, a mixed integer programming model is constructed for the meal delivery routing problem and solved by the adaptive large neighbourhood search …
Optimization of Express Delivery Routing Problem
This paper aims to make a global grasp of the route optimization problem of express delivery. It provides a reference for the optimization problem of express delivery routes in any other areas.
Cargo Route Optimization Using Shortest Path Algorithms: …
One application of AI technology is to optimize delivery routes by finding the shortest path. The shortest path algorithm is an essential tool for finding the most efficient route between two or …
Optimization of Delivery Routes using the Little´s Algorithm
For the purposes of this article, a distribution route with a total length of 231 km was chosen. The route contains seven delivery points listed in Table 1. The circuit starts in Hradec Králové, …
A Hybrid Ant Colony Algorithm for Fresh Delivery Route …
The route optimization problem of fresh product distribution is to seek a travel r oute of the delivery vehicle that meet s the target requirements, such as the shortest distribution path, the …
STATIC-DYNAMIC ROUTE OPTIMIZATION USING GENETIC …
ABSTRACT: Route optimization is prevalent in providing cost-effective, time-saving, and fuel-efficient logistic operations.
A Four-stage Heuristic Algorithm for Solving On-demand …
Following this strategy, an optimization-based four- stage heuristic algorithm is developed to generate an optimal routing plan at each decision point.
The Meal Delivery Routing Problem - Optimization Online
We develop optimization-based algorithms tailored to solve the courier assignment (dynamic vehicle routing) and capacity management (o ine shift scheduling) problems encountered in …
Postal Item Delivery Route Optimization Based On Close …
Close-Open Mixed Vehicle Routing Problem (COMVRP) is proposed to optimize delivery by involving external fleets, and this is to reduce transportation costs where external fleets do not …
1Yuqin Meng Optimization Algorithm Based on Big Data …
The Logistics Transportation Route Optimization Algorithm, grounded in Big Data Analysis, was rigorously evaluated across diverse transportation scenarios to gauge its effectiveness in …
Greenplan – the best way: Logistics experts launch powerful …
Bonn, June 25, 2020 – Greenplan, a DHL financed start-up company, is launching a powerful algorithm for optimizing delivery routes and stop sequences in logistics.
Real-Time Route Optimization in Logistics: A Deep Learning Appr…
In this paper, we present a comprehensive deep learning framework that integrates time-series forecasting with reinforcement learning to generate and adjust optimal …
Delivery Route Optimization Using Dijkstra’s Algorithm for t…
Abstract: This paper presents an optimized delivery route planning system using a hybrid approach of Dijkstra’s algorithm and heuristic methods to address the Travelling …
Automated Route Optimization and Delivery Scheduling Using …
Various AI algorithms commonly employed for route optimization, such as Genetic Algorithms, Ant Colony Optimization, and Reinforcement Learning, are discussed, …
Optimising Delivery Routes Under Real-World Constraints: …
We examine each algorithm to create the best possible route plans for delivery trucks using actual data. Several factors are employed to assess each algorithm’s performance, …
Logistics Distribution Route Optimization in Artificial Intelli…
logistics industry with an innovative route optimization framework that combines the latest technological advances to help improve the efficiency and reliability of the entire …
