A modified artificial bee colony algorithm for numerical function optimization

被引：0
|
作者：
Babayigit, Bilal [1 ]
Ozdemir, Resul [2 ]
机构：
[1] Erciyes Univ, Dept Comp Engn, Kayseri, Turkey
[2] Nevsehir Univ Urgup, USET Vocat Sch, Nevsehir, Turkey
来源：
2012 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC) | 2012年
关键词：
Swarm intelligence; modified artificial bee colony algorithm; numerical function optimization; CLONAL SELECTION ALGORITHM; LINEAR ANTENNA-ARRAYS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Artificial bee colony (ABC) algorithm, explored in recent literature, is an efficient optimization technique which simulates the foraging behavior of honeybees. ABC algorithm is good at exploration but poor at exploitation. This paper presents a new modified ABC algorithm for numerical optimization problems to improve the exploitation capability of the ABC algorithm. A different probability function and a new searching mechanism are proposed. The modified ABC algorithm is tested on seven numerical optimization problems. The results demonstrate that the modified ABC algorithm outperforms the ABC algorithm on solution quality and faster convergence.
引用
收藏
页码：245 / 249
页数：5
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