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Engineering - Production & Process Engineering | Network Models and Optimization - Multiobjective Genetic Algorithm Approach

Network Models and Optimization

Multiobjective Genetic Algorithm Approach

Gen, Mitsuo, Cheng, Runwei, Lin, Lin

2008, XIV, 692 p.

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  • Presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization 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.

Content Level » Research

Keywords » Genetic Algorithms - Logistics Models - Manufacturing - Network Models - Optimization - Scheduling Models - algorithms - logistics - operations research - scheduling

Related subjects » Operations Research & Decision Theory - Production & Process Engineering - Theoretical Computer Science

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