A novel hybrid approach combining electromagnetism-like method with Solis and Wets local search for continuous optimization problems

Authors:
M. Gol Alikhani;N. Javadian;R. Tavakkoli-Moghaddam
Affiliations:
Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran;Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran;Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
Venue:
Journal of Global Optimization
Year:
2009

Citing 3
Cited 4

Stochastic Global Optimization: Problem Classes and Solution Techniques

Journal of Global Optimization
An Electromagnetism-like Mechanism for Global Optimization

Journal of Global Optimization
On the Convergence of a Population-Based Global Optimization Algorithm

Journal of Global Optimization

An electromagnetism-like method for nonlinearly constrained global optimization

Computers & Mathematics with Applications
Applying electromagnetism-like mechanism for feature selection

Information Sciences: an International Journal
A hybridization of simulated annealing and electromagnetism-like mechanism for a periodic job shop scheduling problem

Expert Systems with Applications: An International Journal
A comparative study of different local search application strategies in hybrid metaheuristics

Applied Soft Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The electromagnetism-like method (EM) is a meta-heuristic algorithm utilizing an attraction-repulsion mechanism to move sample points towards optimality in continuous optimization problems. Traditionally, the EM uses two algorithms known as the original and revised EMs. This paper presents a novel hybrid approach for EM by employing a well-known local search, called Solis and Wets. To show the performance of our proposed hybrid EM, a number of experiments are carried out on a set of well-known test problems and the related results are compared with two forgoing algorithms.