`` Direct Search'' Solution of Numerical and Statistical Problems
Journal of the ACM (JACM)
On the Convergence of Pattern Search Algorithms
SIAM Journal on Optimization
Pattern Search Algorithms for Bound Constrained Minimization
SIAM Journal on Optimization
Stochastic Global Optimization: Problem Classes and Solution Techniques
Journal of Global Optimization
Global Optimization by Multilevel Coordinate Search
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
Journal of Global Optimization
Differential evolution algorithms using hybrid mutation
Computational Optimization and Applications
A particle swarm pattern search method for bound constrained global optimization
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
Circle detection using electro-magnetism optimization
Information Sciences: an International Journal
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This paper presents an algorithm for solving global optimization problems with bounded variables. The algorithm is a modification of the electromagnetism-like mechanism proposed by Birbil and Fang [An electromagnetism-like mechanism for global optimization, J. Global Optim. 25 (2003), pp. 263-282]. The differences are mainly on the local search procedure and on the force vector used to move each point in the population. Several widely-used benchmark problems were solved in a performance evaluation of the new algorithm when compared with the original one. A comparison with other stochastic methods is also included. The algorithm seems appropriate for large dimension problems.