Department   Hiroshima shudo University  The Faculty of Commercial Sciences
   Position   Professor
Language English
Publication Date 2021/02
Type books
Title Graph-Based Speciation Using Beta-Relaxed Relative Neighborhood Graph for Multimodal Optimization by Differential Evolution
Contribution Type Contributor
Journal New Approches for Operations Research and Applied Economics
Journal TypeJapan
Publisher Kyushu University Press
Volume, Issue, Pages pp.15-40
Number of pages 26
Total page number 116
Author and coauthor Setsuko Sakai, Tetsuyuki Takahama
Details In this study, we propose a new proximity graph “β relaxed relative neighborhood
graph” (βRNG) that can be generated relatively fast and has an intermediate nature between GG(β=1) and relative neighborhood graph (β=2), where β is a parameter. Also, βRNG is adopted in SDE-G (Speciation-based Differential Evolution using Graphs) for graph-based speciation. The performance of the proposed method is shown by optimizing well-known benchmark problems for “CEC’2013 special session and competition on niching methods for multimodal function optimization”.
ISBN 978-4-7985-0283-0