A new electromagnetism-like algorithm with a population shrinking strategy

  • Authors:
  • Ana Maria A. C. Rocha;Edite M. G. P. Fernandes

  • Affiliations:
  • Minho University, Department of Production and Systems, Braga, Portugal;Minho University, Department of Production and Systems, Braga, Portugal

  • Venue:
  • MACMESE'07 Proceedings of the 9th WSEAS international conference on Mathematical and computational methods in science and engineering
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The Electromagnetism-like (EM) algorithm, developed by Birbil and Fang [3] is a population-based stochastic global optimization algorithm that uses an attraction-repulsion mechanism to move sample points toward optimality. In order to improve the accuracy of the solutions the EM algorithm incorporates a random local search. In this paper we propose a new local search procedure based on a pattern search method, and a population shrinking strategy to improve efficiency. The proposed method is applied to some test problems and compared with the original EM algorithm.