Title: A Multi-stage Evolutionary Algorithm for Solving Complex Function Optimization Problems
Abstract: Based on the analysis of defects of traditional evolutionary algorithms in solving global optimization of non-linear or multi-modal function, a novel evolutionary algorithm called multi-stage evolutionary algorithm (MSEA) is proposed. MSEA has many new features. It develops some new operators such as multi-parent crossover operator with elite-preservation, dynamical mutation operator, space contraction operator, etc; It introduces a new multi-stage algorithm framework. The simulation results on some typical test problems show that MSEA proposed in this paper is better than existing evolutionary algorithm in the accuracy of solutions.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 2
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