Dynamic Function Optimization by Improved Artificial Bee Colony Algorithm

被引：1
|
作者：
Jiang, Shuo [1 ]
机构：
[1] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China
来源：
MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY | 2014年 / 556-562卷
关键词：
bee colony algorithm; ABC; dynamic function optimization;
D O I：
10.4028/www.scientific.net/AMM.556-562.3562
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an improved artificial bee colony algorithm (IABC) for dynamic environment optimization has been proposed. As we compared the IABC with greedy algorithm (GA), Particle swarm optimization (PSO) and original artificial bee colony algorithm (ABC), the result of dynamic function optimization shows that the IABC can obtain satisfactory solutions and good tracing performance for dynamic function in time.
引用
收藏
页码：3562 / 3566
页数：5
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