Network Models and Optimization [electronic resource] :Multiobjective Genetic Algorithm Approach / by Mitsuo Gen, Runwei Cheng, Lin Lin.
by Gen, Mitsuo [author.]; Cheng, Runwei [author.]; Lin, Lin [author.]; SpringerLink (Online service).
Material type:
BookSeries: Decision Engineering: Publisher: London : Springer London, 2008.Description: online resource.ISBN: 9781848001817.Subject(s): Engineering | Computer software | Combinatorics | Engineering economy | Engineering | Engineering Economics, Organization, Logistics, Marketing | Combinatorics | Operations Research/Decision Theory | Algorithm Analysis and Problem ComplexityDDC classification: 658.5 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | TA177.4-185 (Browse shelf) | Available |
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| RC681-688.2 The ECG Manual | TA1637-1638 Fundamentals of Three-Dimensional Digital Image Processing | T55.4-60.8 The Delft Systems Approach | TA177.4-185 Network Models and Optimization | TA177.4-185 ERP Systems and Organisational Change | QA241-247.5 Catalan's Conjecture | RL1-803 Thyroid Disorders with Cutaneous Manifestations |
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.
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