A Self Adaptive Hybrid Artificial Bee Colony Algorithm for Solving CEC 2013 Real-Parameter Optimization Problems

被引：0
|
作者：
Shan, Hai [1 ]
Yasuda, Toshiyuki [1 ]
Ohkura, Kazuhiro [1 ]
机构：
[1] Hiroshima Univ, Fac Engn, Hiroshima, Japan
来源：
2013 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII) | 2013年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Artificial bee colony (ABC) algorithm is one of the most recently introduced swarm intelligence based algorithm which foraging the behavior of honey bee colonies. In order to improve the convergence performance and searching speed of finding best solution, self adaptive hybrid ABC (SAHABC) is proposed in this paper. For evaluating the performance of standard ABC and proposed SAHABC algorithms, we implemented experiments on CEC 2013 real-parameter single objective optimization problems testbed. SAHABC algorithm demonstrated competitive performance on the optimization problems with the dimension size of 10, 30, and 50 respectively.
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页码：706 / 711
页数：6
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