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

Author

Coelho, Leandro Dos Santos ; Alotto, Piergiorgio

Author_Institution

Ind. & Syst. Eng. Grad. Program, Pontifical Catholic Univ. of Parana, Curitiba, Brazil

Volume

47

Issue

5

fYear

2011

fDate

5/1/2011 12:00:00 AM

Firstpage

1326

Lastpage

1329

Abstract

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.

Keywords

Gaussian processes; heuristic programming; particle swarm optimisation; solenoids; ABC algorithm; Gaussian artificial bee colony algorithm; Loney solenoid benchmark problem; ant colony optimization; bacterial foraging strategies; bioinspired swarm intelligence approach; electromagnetic device design; electromagnetic optimization; optimization metaheuristics; particle swarm optimization; population-based algorithms; Algorithm design and analysis; Benchmark testing; Coils; Electromagnetics; Optimization; Particle swarm optimization; Solenoids; Artificial bee colony; optimization; stochastic methods;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2010.2087317

Filename

5754672