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Advances in bio-inspired computing for combinatorial optimization problems

作者: Camelia-Mihaela Pintea
出版商: Berlin : Springer, [2013?] ©2014
叢書: Intelligent systems reference library, v.57
版本/格式:   電子書 : 文獻 : 英語所有版本和格式的總覽
資料庫:WorldCat
提要:
"Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and  再讀一些...
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類型/形式: Electronic books
資料類型: 文獻, 網際網路資源
文件類型: 網路資源, 電腦資料
所有的作者/貢獻者: Camelia-Mihaela Pintea
ISBN: 9783642401794 3642401791
OCLC系統控制編碼: 857586057
描述: 1 online resource (x, 188 pages) : illustrations.
内容: Part I. Biological Computing and Optimization --
Part II. Ant Algorithms --
Part III. Bio-inspired Multi-Agent Systems --
Part IV. Applications with Bio-inspired Algorithms --
Part V. Conclusions and Remarks.
叢書名: Intelligent systems reference library, v.57
責任: Camelia-Mihaela Pintea.
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摘要:

This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots,  再讀一些...

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