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

作     者：Song, Xiaoxiao Wang, Jun Zhang, Bide 

作者机构：Xihua Univ Sch Elect & Informat Engn Chengdu 610039 Sichuan Peoples R China 

出 版 物：《JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE》 (计算与理论纳米科学杂志)

年 卷 期：2015年第12卷第7期

页      面：1426-1433页

核心收录：

学科分类：07[理学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0703[理学-化学] 0702[理学-物理学] 

基　　金：National Natural Science Foundation of China Chunhui Plan of Ministry of Education of China [Z2012025] Research Projects of Eduction Department of Sichuan Province [13ZB0017] Key Scientific Research Foundation of Xihua University [Z1120943] Research Project of Education Department of Sichuan Province [13ZA0023] Research Fund of Fluid and Power Machinery, Ministry of Education [SBZDPY-11-14, 13] 

主　　题：Artificial Bee Colony Algorithm P Systems Function Optimization 

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.