Artificial Bee Colony Algorithm with Crossover Strategies for Global Numerical Optimization

被引：0
|
作者：
Hsieh, Sheng-Ta [1 ]
Chen, Jhih-Sian [1 ]
机构：
[1] Oriental Inst Technol, Dept Commun Engn, New Taipei, Taiwan
来源：
PROCEEDINGS OF THE EIGHTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 18TH '13) | 2013年
关键词：
artificial bee colony; crossover; genetic algorithm; optimization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a new variant of artificial bee colony (ABC) algorithm is proposed for solving numerical optimization problems. In order to increase population's solution searching ability, the crossover operation of genetic algorithm (GA) is involved to produce new potential offspring. In the experiment, the CEC 2005 test functions are adopted for test proposed method and compared it to related works. From the results, it can be observed that the proposed method performed better performance than two variants of ABC approaches.
引用
收藏
页码：613 / 616
页数：4
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