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Titlebook: Evolutionary Computation in Combinatorial Optimization; 6th European Confere Jens Gottlieb,Günther R. Raidl Conference proceedings 2006 Spr

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發(fā)表于 2025-3-21 18:13:11 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Evolutionary Computation in Combinatorial Optimization
副標(biāo)題6th European Confere
編輯Jens Gottlieb,Günther R. Raidl
視頻videohttp://file.papertrans.cn/318/317878/317878.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Evolutionary Computation in Combinatorial Optimization; 6th European Confere Jens Gottlieb,Günther R. Raidl Conference proceedings 2006 Spr
出版日期Conference proceedings 2006
關(guān)鍵詞Algorithms; Variable; algorithm; combinatorial optimization; evolutionary algorithm; metaheuristic; optimi
版次1
doihttps://doi.org/10.1007/11730095
isbn_softcover978-3-540-33178-0
isbn_ebook978-3-540-33179-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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Hierarchical Cellular Genetic Algorithm,ributed layout. We examine the effect of the introduced hierarchy by observing the variable takeover rates at different hierarchy levels and we compare the H-cGA to the cGA algorithm on a set of benchmark problems and show that the new approach performs promising.
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The Case Against Ethnophilosophypproaches know nothing of the weights. The result is highly significant for complex real-world problems where objective weights are seldom known in advance since it suggests that a multi-objective approach can generate a solution close to the user preferred one without having knowledge of user prefe
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https://doi.org/10.1007/978-3-658-32824-5ributed layout. We examine the effect of the introduced hierarchy by observing the variable takeover rates at different hierarchy levels and we compare the H-cGA to the cGA algorithm on a set of benchmark problems and show that the new approach performs promising.
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Claudio Campagna,Robert Harcourtapplied to TSP benchmarks up to instances of 13509 cities. Experimental results reveal that EAX-1AB(ENT) with a population of 200 can almost always find optimal solutions effectively in most TSP benchmarks up to instances of 5915 cities. In the experiments, a previously proposed EAs using EAX can fi
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Evolutionary Computation in Combinatorial Optimization6th European Confere
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Ethnopharmacology of Medicinal Plantshe problem concerns partitioning the nodes of a weighted graph into two subsets such that the total weight of each set is within some lower and upper bounds. The objective is to minimize the total cost of the edges between both subsets of the partition. We formulate the problem as an integer program
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