文章基本信息

标题：A new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimization
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作者：Nama, S. ; Nama, S. ; Saha, A. 等
期刊名称：International Journal of Industrial Engineering Computations
印刷版ISSN：1923-2926
电子版ISSN：1923-2934
出版年度：2016
卷号：7
期号：2
页码：323-338
DOI：10.5267/j.ijiec.2015.9.003
语种：English
出版社：Growing Science Publishing Company
摘要：Differential evolution (DE) is an effective and powerful approach and it has been widely used in different environments. However, the performance of DE is sensitive to the choice of control parameters. Thus, to obtain optimal performance, time-consuming parameter tuning is necessary. Backtracking Search Optimization Algorithm (BSA) is a new evolutionary algorithm (EA) for solving real-valued numerical optimization problems. An ensemble algorithm called E-BSADE is proposed which incorporates concepts from DE and BSA. The performance of E-BSADE is evaluated on several benchmark functions and is compared with basic DE, BSA and conventional DE mutation strategy. Also the performance results are compared with state of the art PSO variant.
关键词：Backtracking Search Optimization Algorithm (BSA); Differential Evolution (DE); Ensemble Algorithm; Unconstrained Optimization