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100301s2008 xxk| s |||| 0|eng d |
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|a 9781848001817
|9 978-1-84800-181-7
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|a 10.1007/978-1-84800-181-7
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|a 658.5
|2 23
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|a Gen, Mitsuo.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Network Models and Optimization
|h [electronic resource] :
|b Multiobjective Genetic Algorithm Approach /
|c by Mitsuo Gen, Runwei Cheng, Lin Lin.
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|a 1st ed. 2008.
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264 |
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|a London :
|b Springer London :
|b Imprint: Springer,
|c 2008.
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300 |
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|a XIV, 692 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Decision Engineering,
|x 2197-6589
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505 |
0 |
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|a 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.
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520 |
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|a 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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|a Industrial Management.
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650 |
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|a Discrete mathematics.
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650 |
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|a Operations research.
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650 |
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|a Algorithms.
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650 |
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|a Industrial Management.
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|a Discrete Mathematics.
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650 |
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4 |
|a Operations Research and Decision Theory.
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650 |
2 |
4 |
|a Algorithms.
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700 |
1 |
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|a Cheng, Runwei.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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700 |
1 |
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|a Lin, Lin.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9781849967464
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776 |
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|i Printed edition:
|z 9781848820098
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776 |
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8 |
|i Printed edition:
|z 9781848001800
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830 |
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|a Decision Engineering,
|x 2197-6589
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-1-84800-181-7
|z Texto Completo
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912 |
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|a ZDB-2-ENG
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912 |
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|a ZDB-2-SXE
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950 |
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|a Engineering (SpringerNature-11647)
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950 |
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|a Engineering (R0) (SpringerNature-43712)
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