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Titlebook: Linkage in Evolutionary Computation; Ying-ping Chen,Meng-Hiot Lim Book 2008 Springer-Verlag Berlin Heidelberg 2008 Bayesian network.Evolut

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书目名称Linkage in Evolutionary Computation
编辑Ying-ping Chen,Meng-Hiot Lim
视频video
概述Presents recent results in Linkage in Evolutionary Computation
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Linkage in Evolutionary Computation;  Ying-ping Chen,Meng-Hiot Lim Book 2008 Springer-Verlag Berlin Heidelberg 2008 Bayesian network.Evolut
描述.In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily ”fooled” by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way..
出版日期Book 2008
关键词Bayesian network; Evolution; Evolutionary Computation; Linkage; Operator; algorithm; algorithms; calculus; c
版次1
doihttps://doi.org/10.1007/978-3-540-85068-7
isbn_softcover978-3-642-09876-5
isbn_ebook978-3-540-85068-7Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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978-3-642-09876-5Springer-Verlag Berlin Heidelberg 2008
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Linkage in Evolutionary Computation978-3-540-85068-7Series ISSN 1860-949X Series E-ISSN 1860-9503
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aracteristics. Carbon nanostructures and their precursors: monolayer and multilayer nanotubes, fullerenes and their endohedral metal complexes, graphenes, including thermally expanded graphite, and tetraazate tetrabenzoporphyrin complexes were considered as modifying additives that increase the oper
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Parallel Bivariate Marginal Distribution Algorithm with Probability Model Migration unidirectional ring topology. The traditional migration of individuals is compared with a newly proposed technique of probability model migration. The idea of the new adaptive BMDA (aBMDA) algorithms is to modify the classic learning of the probability model (applied in the sequential BMDA [24]). I
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Linkages Detection in Histogram-Based Estimation of Distribution Algorithmo obtain new candidate solutions of optimized problems. One of the charming characteristics of this evolutionary paradigm is that the joint probability density can explicitly represent correlation among variables [1,16]. It is verified by several researchers [2] that multivariate-dependency EDAs hav
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Linkage in Island Modelscs of evolution and therefore, IMs are characterized by several interesting properties of IMs with regard to gene linkage, which are presented in this chapter. Traditional single-population evolutionary algorithms (EAs) suffer from a relatively quick and often random gene fixation, due to evolutiona
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Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problemstween real-valued variables is employed to measure variable interaction or dependency, and the variable clustering and aggregation algorithms are proposed to identify the substructures of a problem through partitioning variables. Then, mixture Gaussian probability density function is estimated to mo
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