贫血
发表于 2025-3-21 18:56:41
书目名称Adaptation and Hybridization in Computational Intelligence影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0144528<br><br> <br><br>书目名称Adaptation and Hybridization in Computational Intelligence影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0144528<br><br> <br><br>书目名称Adaptation and Hybridization in Computational Intelligence网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0144528<br><br> <br><br>书目名称Adaptation and Hybridization in Computational Intelligence网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0144528<br><br> <br><br>书目名称Adaptation and Hybridization in Computational Intelligence被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0144528<br><br> <br><br>书目名称Adaptation and Hybridization in Computational Intelligence被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0144528<br><br> <br><br>书目名称Adaptation and Hybridization in Computational Intelligence年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0144528<br><br> <br><br>书目名称Adaptation and Hybridization in Computational Intelligence年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0144528<br><br> <br><br>书目名称Adaptation and Hybridization in Computational Intelligence读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0144528<br><br> <br><br>书目名称Adaptation and Hybridization in Computational Intelligence读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0144528<br><br> <br><br>
一大群
发表于 2025-3-21 21:49:58
https://doi.org/10.1007/978-1-4020-8227-6e used in order to make a DE solver more robust, efficient, etc., and to overcome parameter tuning which is usually a time-consuming task needed to be done before the actual optimization process starts. Literature overviews of adaptive and self-adaptive mechanisms are mainly focused on mutation and
用手捏
发表于 2025-3-22 03:38:32
AFPM Machines Without Stator Cores,gy parameters (i.e. mutation strengths) that are embedded into representation of individuals. The mutation strengths determine the direction and the magnitude of the changes on the basis of the new position of the individuals in the search space is determined. This chapter analyzes the characteristi
尖牙
发表于 2025-3-22 06:04:41
https://doi.org/10.1007/978-1-4020-8227-6al search directions are grouped in a suitable number of subcomponents. Then, different subpopulations are assigned to the subcomponents and evolved using an optimization metaheuristic. To evaluate the fitness of individuals, the subpopulations cooperate by exchanging information. In this chapter we
悦耳
发表于 2025-3-22 08:46:54
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古代
发表于 2025-3-22 14:14:13
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NICE
发表于 2025-3-22 18:25:53
AFPM Machines Without Stator Cores,. In order to avoid this hard work, the automatic tuning of these parameters is proposed. A real-coded genetic algorithm (GA) was developed for this purpose. This, so-called meta-GA, algorithm acts as a meta-heuristic that searches for the optimal values of ANN parameters using the genetic operators
遗传
发表于 2025-3-23 00:43:34
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Ibd810
发表于 2025-3-23 02:53:24
https://doi.org/10.1007/978-1-4020-8227-6ing problems with stochastic variables. More precisely, we solve one problem with stochastic customers, the Probabilistic Traveling Salesman Problem and one problem with stochastic demands, the Vehicle Routing Problem with Stochastic Demands. The proposed algorithm uses a Variable Neighborhood Searc
运气
发表于 2025-3-23 07:22:37
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