Network Models and Optimization : Multiobjective Genetic Algorithm Approach /
By: Gen, Mitsuo [author.].
Contributor(s): Cheng, Runwei [author.] | Lin, Lin [author.] | SpringerLink (Online service).
Material type:
BookSeries: Decision Engineering: Publisher: London : Springer London, 2008.Description: XIV, 692 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781848001817.Subject(s): Engineering | Operations research | Decision making | Algorithms | Combinatorics | Engineering economics | Engineering economy | Engineering | Engineering Economics, Organization, Logistics, Marketing | Combinatorics | Operation 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 | Item holds |
|---|---|---|---|---|---|---|
E books
|
PK Kelkar Library, IIT Kanpur | Available | EBK654 |
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.
There are no comments for this item.