TAKAHAMA Setsuko
Department Hiroshima shudo University The Faculty of Commercial Sciences Position Professor |
|
Language | Japanese |
Publication Date | 2018/12 |
Type | Articles |
Peer Review | With peer review |
Title | A New Binomial Crossover Considering Correlation
Among Decision Variables for Adaptive Differential Evolution |
Contribution Type | Co-Authored Publication |
Journal | Proceedings of SCIS & ISIS2018 |
Journal Type | Another Country |
Publisher | IEEE |
Volume, Issue, Pages | 467-473頁 |
Number of pages | 7 |
Author and coauthor | Tetsuyuki Takahama, Setsuko Sakai |
Details | We proposed a new crossover CBX which uses correlation coefficients of search points in order to identify dependency among decision variables and solve problems with strong dependency. The crossover points are decided so that highly correlated variables are inherited at the same time. Also, adaptive control of the probability of applying CBX is proposed. From numerical experiments, it is shown that ADECBX (Sr=0.6) attained significantly better results compared with JADE in many problems. |
DOI | 10.1109/SCIS-ISIS.2018.00097 |
ISBN | 978-1-5386-2633-7 |