A Membrane-Inspired Evolutionary Algorithm Based on Artificial Bee Colony Algorithm

被引：1
|
作者：
Song, Xiaoxiao [1 ]
Wang, Jun [1 ]
Zhang, Bide [1 ]
机构：
[1] Xihua Univ, Sch Elect & Informat Engn, Chengdu 610039, Sichuan, Peoples R China
来源：
JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE | 2015年 / 12卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Artificial Bee Colony Algorithm; P Systems; Function Optimization; P-SYSTEMS; DIFFERENTIAL EVOLUTION; OPTIMIZATION ALGORITHM;
D O I：
10.1166/jctn.2015.3908
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
The paper presents a novel membrane-inspired evolutionary algorithm, named artificial bee colony algorithm based on P systems (ABCPS), which combines P systems and artificial bee colony algorithm (ABC). ABCPS uses the evolutionary rules of ABC, the one level membrane structure, and transformation or communication rules in P systems to design its algorithm. Experiments have been conducted on a set of 29 benchmark functions. The results demonstrate good performance of ABCPS in solving complex function optimization problems when compared with ABC.
引用
收藏
页码：1426 / 1433
页数：8
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