Gaussian Artificial Bee Colony Algorithm Approach Applied to Loney's Solenoid Benchmark Problem

被引：81

作者：

Coelho, Leandro dos Santos ^{[2
]}

Alotto, Piergiorgio ^{[1
]}

机构：

[1] Univ Padua, Dipartimento Ingn Elettr, I-35131 Padua, Italy

[2] Univ Parana Rua Imaculada Conceicao, Ind & Syst Engn Grad Program, Automat & Syst Lab LAS, PPGEPS Pontifical Catholic, BR-80010 Curitiba, Parana, Brazil

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2011年 / 47卷 / 05期

关键词：

Artificial bee colony; optimization; stochastic methods; OPTIMIZATION;

D O I：

10.1109/TMAG.2010.2087317

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：

Optimization metaheuristics, such as Particle Swarm Optimization, Ant Colony Optimization and bacterial foraging strategies have become very popular in the optimization community and have been successfully applied to electromagnetic device design. The Artificial Bee Colony (ABC) algorithm is a rather new bio-inspired swarm intelligence approach which is competitive with other population-based algorithms and has the advantage of using fewer control parameters. In this work, a standard and an improved version of the ABC algorithm using Gaussian distribution are applied to Loney's solenoid problem, showing the suitability of these methods for electromagnetic optimization.

引用

页码：1326 / 1329

页数：4

共 6 条

[1]

BASTURK B, 2006, P IEEE SWARM INT S I

[2] Use of intelligent-particle swarm optimization in electromagnetics [J].