Hybrid Differential Artificial Bee Colony Algorithm

被引：40
|
作者：
Abraham, Ajith [1 ,2 ]
Jatoth, Ravi Kumar [3 ]
Rajasekhar, A. [4 ]
机构：
[1] SNIRE, MIR Labs, Auburn, WA 98071 USA
[2] Tech Univ Ostrava, VSB, Dept Comp Sci, Ostrava 70833, Czech Republic
[3] Natl Inst Technol Warangal, Dept Elect & Commun Engn, Warangal 506004, Andhra Pradesh, India
[4] Natl Inst Technol Warangal, Dept Elect & Elect Engn, Warangal 506004, Andhra Pradesh, India
来源：
JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE | 2012年 / 9卷 / 02期
关键词：
Artificial Bee Colony; Differential Evolution; Optimization Models; OPTIMIZATION; CONTROLLER;
D O I：
10.1166/jctn.2012.2019
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
Artificial Bee Colony Algorithm (ABCA) is a new population-based meta-heuristic approach inspired by the foraging behaviour of bees. This article describes an application of a novel Hybrid Differential Artificial Bee Colony Algorithm (HDABCA), which combines Differential Evolution strategy with Artificial Bee Colony algorithm. We illustrate the proposed method using several test functions and also compared with classical differential evolution algorithm and artificial bee colony algorithm. Simulation results illustrate that the proposed method is very efficient.
引用
收藏
页码：249 / 257
页数：9
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