Network Models and Optimization: Multiobjective Genetic Algorithm Approach (Decision Engineering)

Network models are critical tools in business, management, science and industry. __Network Models and Optimization: Multiobjective Genetic Algorithm Approach__ 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. __Network Models and Optimization: Multiobjective Genetic Algorithm Approach__ extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, travelling 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. __Network Models and Optimization: Multiobjective Genetic Algorithm Approach__ can be used both as a student textbook and as a professional reference for practitioners in many disciplines who use network optimization methods to model and solve problems.

network Models Are Critical Tools In Business, Management, Science And Industry. Network Models And Optimization: Multiobjective Genetic Algorithm Approach 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.

network Models And Optimization: Multiobjective Genetic Algorithm Approach Extensively Covers Algorithms And Applications, Including Shortest Path Problems, Minimum Cost Flow Problems, Maximum Flow Problems, Minimum Spanning Tree Problems, Travelling 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.

network Models And Optimization: Multiobjective Genetic Algorithm Approach Can Be Used Both As A Student Textbook And As A Professional Reference For Practitioners In Many Disciplines Who Use Network Optimization Methods To Model And Solve Problems.

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. Front Matter....Pages i-xiv Multiobjective Genetic Algorithms....Pages 1-47 Basic Network Models....Pages 49-134 Logistics Network Models....Pages 135-228 Communication Network Models....Pages 229-295 Advanced Planning and Scheduling Models....Pages 297-417 Project Scheduling Models....Pages 419-476 Assembly Line Balancing Models....Pages 477-550 Tasks Scheduling Models....Pages 551-606 Advanced Network Models....Pages 607-685 Back Matter....Pages 687-692 Network models are critical tools in business, management, science and industry. This book presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines