An Improved Artificial Bee Colony (ABC) Algorithm with Advanced Search Ability

被引：0

作者：

Wang, Yan ^{[1
]}

You, Jia ^{[1
]}

Hang, Jinquan ^{[1
]}

Li, Chen ^{[1
]}

Cheng, Long ^{[1
]}

机构：

[1] Northeastern Univ, Dept Comp & Commun Engn, Qinhuangdao 066004, Peoples R China

来源：

2018 8TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC) | 2018年

基金：

中国国家自然科学基金;

关键词：

Artificial Bee Colony (ABC) algorithm; Swarm Intelligence; The Number of Scouts; Perturbation Factor; OPTIMIZATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To solve the problem that Artificial Bee Colony (ABC) algorithm is easy to fall into local optimum, this paper proposes an improved Artificial Bee Colony (ABC) algorithm with advanced search ability. This algorithm focuses on adding the number of scouts by comparing the maximum value Bas(max), the second largest value Bas(second) and the third largest value Bas(third) of Bas(i) with the parameter limit. Inspired by the method of introducing modification rate (MR), the solution generation method of Bas(second) is modified to increase disturbance. Six benchmark functions are used to test the efficiency and stability of the algorithm, and the simulation results show the improved ABC algorithm with advanced search ability performs better than ABC algorithm in high dimensional space.

引用

页码：91 / 94

页数：4

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