Research on Artificial Bee Colony Algorithm Based on Homogenization Logistic Mapping

Autor:	Liyong Bao, Zheng Guan, Kexiang Shi, Lei Zhao, Hongwei Ding
Rok vydání:	2020
Předmět:	Artificial bee colony algorithm History Mathematical optimization Computer science Computer Science::Neural and Evolutionary Computation Logistic mapping Homogenization (chemistry) Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1624:042030
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1624/4/042030
Popis:	Aiming at the defects of artificial bee colony algorithm with poor performance and slow optimization efficiency, this paper puts forward an artificial bee colony algorithm that initializes honey sources by homogenizing chaotic mapping. First, a homogenization logistic mapping model is constructed, and the frequency distribution and information entropy are analyzed. Second, during the initial honey stage, a homogenization logistic map is introduced to continuously iterate to generate a feasible global uniform distribution with a feasible solution. Finally, by evaluating the optimal solution for different characteristic functions, it is shown that the algorithm achieves the improvement of convergence performance, optimal solution accuracy, optimization efficiency and stability under the condition of limited bee colonies.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7e6aba150799e86a31e776922112a1a0 https://doi.org/10.1088/1742-6596/1624/4/042030 Zobrazit plný text záznamu