研究者情報 | 神奈川大学

ノト　マサト Noto Masato 能登　正人所属神奈川大学情報学部システム数理学科神奈川大学大学院工学研究科工学専攻（電気電子情報工学領域）職種教授
言語種別	英語
発行・発表の年月	2023/07
形態種別	学術雑誌
査読	査読あり
標題	Adaptive Artificial Bee Colony Algorithm Considering Colony's Memory
執筆形態	共著
掲載誌名	Lecture Notes in Computer Science
掲載区分	国外
出版社・発行元	Springer Nature
巻・号・頁	13968,pp.284-296
著者・共著者	J. Li, M. Noto, Y. Zhang
概要	The artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the foraging behavior of honey bee colonies, which means to gradually explore and find food-rich nectar sources through the behavioral patterns of three different bees foraging between hives. We propose an adaptive ABC (AABC) algorithm to accelerate the convergence rate by considering a colony's memory in the employed-bee phase of the algorithm, since some bees will select and explore the best nectar source, and limiting the initial search range of the swarm to search for better honey sources faster. This is done by using tent chaotic search and random backward learning in the scout-bee phase to reselect the nectar source and increase the possibility of jumping out of local optimal solution. We conducted 30 numerical experiments to verify the effectiveness of the proposed adaptive ABC algorithm.