研究者情報 | 神奈川大学

リ　カセイ Ri Kasei 李　嘉誠所属神奈川大学情報学部システム数理学科職種助教
言語種別	英語
発行・発表の年月	2022/02
形態種別	学術雑誌
査読	査読あり
標題	A Reward Population-Based Differential Genetic Harmony Search Algorithm
執筆形態	共著
掲載誌名	Algorithms
掲載区分	国外
出版社・発行元	MDPI
巻・号・頁	15(1),pp.1-23
著者・共著者	Zhang, Yang, Jiacheng Li, and Lei Li.
概要	In this algorithm, a population is divided into four ordinary sub-populations and one reward sub-population, for each of which the evolution strategy of the differential genetic harmony search is used. After the evolution, the population with the optimal average fitness is combined with the reward population to produce a new reward population. During an experiment, tests were conducted first on determining the value of the harmony memory size (HMS) and the harmony memory consideration rate (HMCR), followed by an analysis of the effect of their values on the performance of the proposed algorithm. The result suggests that the reward population-based differential genetic harmony search algorithm has the merits of a strong global search ability, high solving accuracy, and satisfactory stability