Department   Hiroshima shudo University  The Faculty of Commercial Sciences
   Position   Professor
Language English
Publication Date 2020/12
Type Articles
Peer Review With peer review
Title Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm
Contribution Type Co-Authored Publication
Journal Proceedings of SCIS & ISIS2020
Journal TypeAnother Country
Volume, Issue, Pages 1,pp.262-268
Number of pages 7
Author and coauthor Tetsuyuki Takahama, Setsuko Sakai
Details In this study, we focus on mutation strategies and propose an adaptive mutation strategy to improve JADE. Some directional mutation strategies, which utilize directional difference vectors from bad individuals to good individuals, have been proposed to improve search speed. However, in order to avoid local solutions, the vectors in opposite direction may be necessary. The proper frequency of such vectors depends on the problem and the search process. We propose an adaptive mutation strategy that controls the frequency of directional and opposite directional vectors adaptively to realizes efficient and stable search. The advantage of JADE with the proposed method is shown by solving thirteen benchmark problems.