eBook DetailsAuthor:Mitsuo Gen, Runwei Cheng, and Lin Lin
No of Pages: 692 pages
Press: Springer;
Edition:1 edition
Dated:September 10, 2008
Language: English
ISBN-10: 1848001800
ISBN-13: 978-1848001800
eBook Description
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,freebooks4ever,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 and Optimization: Multiobjective Genetic Algorithm Approach extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems,freebooks4ever,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.
Keywords
European Journal of Operational Research, New York, International Conference, Genetic Algorithms, Basic Network Models, Assembly Line Balancing Models, John Wiley, Operations Research, Management Science, Project Scheduling Models, Resource-constrained Project Scheduling Model, Tasks Scheduling Models, Reliable Network Models, Notation Indices, Airline Fleet Assignment Models, Job-shop Scheduling Model, Real-time Task Scheduling, Continuous Task Scheduling, Mixed-model Assembly Line Balancing Model, Journal of Intelligent Manufacturing, Robotic Assembly Line Balancing Model,freebooks4ever,International Journal of Production Research, Resource-constrained Multiple Project Scheduling Model, Multiple Modes, Mean Difference,decision variables, logistics network models, evolutionary computation, communication network models, industrial engineering, shortest path model, basic logistics models, maximum flow model, location allocation models, selection operator, rate monotonic,freebooks4ever, earliest deadline first, soft computing, heterogeneous multiprocessor system, wheel selection routine, assembly line balancing model, backbone network model, feasible line balance, fitness assignment approaches, using encoding procedure, passenger flow demand, line balancing models, total tardiness penalty, using task sequence, breakpoint decoding
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