Open AccessResearch on Artificial Bee Colony Algorithm Based on Homogenization Logistic Mapping
Author(s) -
Kexiang Shi,
Liyong Bao,
Hongwei Ding,
Lei Zhao,
Zheng Guan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1624/4/042030
Subject(s) - homogenization (climate) , artificial bee colony algorithm , logistic map , chaotic , mathematical optimization , entropy (arrow of time) , computer science , mathematics , algorithm , artificial intelligence , biodiversity , ecology , physics , quantum mechanics , biology
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.