文章基本信息

标题：AncDE with gaussian distribution for numerical optimization problem
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作者：Siti Khadijah Mohd Salleh ; Siti Azirah Asmai ; Zuraida Abal Abas 等
期刊名称：IJAIN (International Journal of Advances in Intelligent Informatics)
印刷版ISSN：2442-6571
电子版ISSN：2548-3161
出版年度：2019
卷号：5
期号：1
页码：48-57
DOI：10.26555/ijain.v5i1.258
语种：English
出版社：Universitas Ahmad Dahlan
摘要：This work is introducing an enhanced Differential Evolution (DE) called AncDE. This proposed algorithm is using an additional population from the current generation and located it as ancestor. There are two parameter controllers to manage the selection of ancestor vector; aup for selection frequency and arp for age of selection. In this work we were applying Gaussian distribution on aup and we tested it on CEC 2015 Numerical Optimization Problem. Standard Differential Evolution will act as the benchmark. The result shows that AncDE with Gaussian approach has produced better result than standard DE.
关键词：Differential evolution;Ancestor vector;Gaussian distribution;Parameter controller