タカハマ セツコ   TAKAHAMA Setsuko
  高濱 節子
   所属   広島修道大学  商学部
   職種   教授
言語種別 英語
発行・発表の年月 2021/02
形態種別 著書
標題 Graph-Based Speciation Using Beta-Relaxed Relative Neighborhood Graph for Multimodal Optimization by Differential Evolution
執筆形態 分担
掲載誌名 New Approches for Operations Research and Applied Economics
掲載区分国内
出版社・発行元 Kyushu University Press
巻・号・頁 pp.15-40
頁数 26
総ページ数 116
著者・共著者 Setsuko Sakai, Tetsuyuki Takahama
概要 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