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 TypeAnother 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