×

zbMATH — the first resource for mathematics

Network models and optimization. Multiobjective genetic algorithm approach. (English) Zbl 1193.90006
Decision Engineering. London: Springer (ISBN 978-1-84800-180-0/hbk). xiv, 692 p. (2008).
Publisher’s 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, 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.

MSC:
90-02 Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming
90B10 Deterministic network models in operations research
90Cxx Mathematical programming
90C29 Multi-objective and goal programming
90C59 Approximation methods and heuristics in mathematical programming
Software:
GATE; PROGRESS
PDF BibTeX XML Cite
Full Text: DOI