Gen, Mitsuo.

Network Models and Optimization Multiobjective Genetic Algorithm Approach / [electronic resource] : by Mitsuo Gen, Runwei Cheng, Lin Lin. - London : Springer London, 2008. - online resource. - Decision Engineering, 1619-5736 . - Decision Engineering, .

Multiobjective Genetic Algorithms -- Basic Network Models -- Logistics Network Models -- Communication Network Models -- Advanced Planning and Scheduling Models -- Project Scheduling Models -- Assembly Line Balancing Models -- Tasks Scheduling Models -- Advanced Network Models.

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.


10.1007/978-1-84800-181-7 doi

Computer software.
Engineering economy.
Engineering Economics, Organization, Logistics, Marketing.
Operations Research/Decision Theory.
Algorithm Analysis and Problem Complexity.



Implemented and Maintained by Biju Patnaik Central Library.
For any Suggestions/Query Contact to library or Email: OR Ph:91+6612462103
Website/OPAC best viewed in Mozilla Browser in 1366X768 Resolution.

Powered by Koha