Network Models and Optimization: Multiobjective Genetic Algorithm ApproachNetwork 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. |
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... genetic algorithm approach. - (Decision engineering) 1. Industrial engineering - Mathematical models 2. Genetic algorithms I. Title II. Cheng, Runwei III. Lin, Lin 670.1'5196 ISBN-13: 9781848001800 Library of Congress Control Number ...
... algorithms whose search strategies model the natural evolutionary phenomena; genetic inheritance and Darwinian strife for survival. Usually it is necessary to design a problem-oriented algorithm for the different types of network ...
Multiobjective Genetic Algorithm Approach Mitsuo Gen, Runwei Cheng, Lin Lin. rithms to meet the nature of these ... genetic algorithms to various network optimization problems, including basic network models, logistics network models ...
Multiobjective Genetic Algorithm Approach Mitsuo Gen, Runwei Cheng, Lin Lin. right now to develop our research topics ... genetic algorithms twice and a plenary talk this year. It is our great pleasure to acknowledge the cooperation and ...
Multiobjective Genetic Algorithm Approach Mitsuo Gen, Runwei Cheng, Lin Lin. Contents. 1 Multiobjective Genetic Algorithms ............................... 1 1.1 Introduction ..............................................
Contents
1 | |
49 | |
Logistics Network Models | 135 |
Communication Network Models | 229 |
Advanced Planning and Scheduling Models | 297 |
Project Scheduling Models | 419 |
Assembly Line Balancing Models | 477 |
Tasks Scheduling Models | 551 |
References | 604 |
Index | 687 |
Other editions - View all
Network Models and Optimization: Multiobjective Genetic Algorithm Approach Mitsuo Gen,Runwei Cheng,Lin Lin No preview available - 2008 |
Network Models and Optimization: Multiobjective Genetic Algorithm Approach Mitsuo Gen,Runwei Cheng,Lin Lin No preview available - 2010 |