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Fuzzy Control of Stochastic Global Optimization Algorithms and Very Fast Simulated Reannealing

Hime Aguiar e O. Jr. (hime***at***engineer.com)

Abstract: This paper presents a fuzzy control approach for improving convergence time in stochastic global minimization algorithms .We show concrete results when the method is applied to an efficient algorithm based on ideas related to Simulated Annealing.

Keywords: Fuzzy Control ; ASA ; Simulated Annealing ; Global Optimization

Category 1: Global Optimization (Stochastic Approaches )


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Entry Submitted: 11/25/2003
Entry Accepted: 11/25/2003
Entry Last Modified: 03/11/2005

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