TAKAHAMA Setsuko
Department Hiroshima shudo University The Faculty of Commercial Sciences Position Professor |
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Language | Japanese |
Publication Date | 2018/11 |
Type | Articles |
Peer Review | With peer review |
Title | Grouping of Genes According to Correlation Coefficients and Grouping-Based Crossover for Adaptive Differential Evolution |
Contribution Type | Co-Authored Publication |
Journal | Extended Abstract of The 50th ISCIE Inter. Sympo. on Stochastic Systems Theory and Its Applications |
Journal Type | Another Country |
Publisher | The Institute of Systems, Control and Information Engineers |
Volume, Issue, Pages | 115-116頁 |
Number of pages | 2 |
Author and coauthor | Takahama Tetsuyuki and Setsuko Sakai |
Details | In this study, we propose to use correlation coefficients of search points in order to detect such distribution. The correlation coefficients between decision variables can be obtained from the search points. The highly correlated variables (genes) are grouped and the grouped genes are crossed (or not crossed) simultaneously. However, if only GBX is used as a crossover operation, the diversity of the search points tends to be lost rapidly. In order to keep the diversity, we propose to adjust the probability of applying GBX adaptively. In this study, GBX and adaptive adjustment of the probability of applying GBX is introduced to JADE where JADE is extended by group learning. |