Network Models and Optimization Multiobjective Genetic Algorithm Approach /

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 man...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Gen, Mitsuo (Συγγραφέας), Cheng, Runwei (Συγγραφέας), Lin, Lin (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2008.
Σειρά:Decision Engineering,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Gen, Mitsuo.  |e author. 
245 1 0 |a Network Models and Optimization  |h [electronic resource] :  |b Multiobjective Genetic Algorithm Approach /  |c by Mitsuo Gen, Runwei Cheng, Lin Lin. 
264 1 |a London :  |b Springer London,  |c 2008. 
300 |a XIV, 692 p.  |b online resource. 
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490 1 |a Decision Engineering,  |x 1619-5736 
505 0 |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. 
520 |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. 
650 0 |a Engineering. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Algorithms. 
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650 2 4 |a Combinatorics. 
650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Algorithm Analysis and Problem Complexity. 
700 1 |a Cheng, Runwei.  |e author. 
700 1 |a Lin, Lin.  |e author. 
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830 0 |a Decision Engineering,  |x 1619-5736 
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