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Titlebook: Evolutionary Computation in Combinatorial Optimization; 14th European Confer Christian Blum,Gabriela Ochoa Conference proceedings 2014 Spri

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書目名稱Evolutionary Computation in Combinatorial Optimization
副標(biāo)題14th European Confer
編輯Christian Blum,Gabriela Ochoa
視頻videohttp://file.papertrans.cn/318/317871/317871.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Evolutionary Computation in Combinatorial Optimization; 14th European Confer Christian Blum,Gabriela Ochoa Conference proceedings 2014 Spri
描述.This book constitutes the refereed proceedings of the 14th European Conference on Evolutionary Computation in Combinatorial Optimization, Evo COP 2014, held in Granada, Spain, in April 2014, co-located with the Evo*2014 events Euro GP, Evo BIO, Evo MUSART and Evo Applications..The 20 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers cover the following topics: swarm intelligence algorithms, fitness landscapes and adaptive algorithms, real world and routing problems and cooperative and metaheuristic search..
出版日期Conference proceedings 2014
關(guān)鍵詞algorithm analysis and problem complexity
版次1
doihttps://doi.org/10.1007/978-3-662-44320-0
isbn_softcover978-3-662-44319-4
isbn_ebook978-3-662-44320-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2014
The information of publication is updating

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Yoshitaka Ishikawa,Kazumasa Hanaokaranking operator. Experimental results on 181 problem instances show how these techniques can both improve the results of the current state-of-the-art algorithms and provide good directions to develop EAs with a more robust approximation ratio.
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Diversity-Driven Selection of Multiple Crossover Operators for the Capacitated Arc Routing Problem,ranking operator. Experimental results on 181 problem instances show how these techniques can both improve the results of the current state-of-the-art algorithms and provide good directions to develop EAs with a more robust approximation ratio.
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Modeling an Artificial Bee Colony with Inspector for Clustering Tasks,alled inspectors because they preserve the colony’s history and historical information related to food sources. We experiment inspector behavior in ABC and compare the solution to traditional clustering algorithm. Finally, the effect of colony size is investigated and experimental results are discussed.
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