A new electromagnetism-like algorithm with a population shrinking strategy
Ana Maria A. C. Rocha, Edite M. G. P. Fernandes · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2007
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.