An Improved Differential Evolution and its Application in Function Optimization Problem

Jing Feng Yan; Chao Feng Guo

doi:10.4028/www.scientific.net/AMR.267.632

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 267An Improved Differential Evolution and its...

An Improved Differential Evolution and its Application in Function Optimization Problem

Abstract:

An Improved Differential evolution (IDE) is proposed in this paper. It has some new features: 1) using multi-parent search strategy and stochastic ranking strategy to maintain the diversity of the population; 2) a novel convex mutation to accelerate the convergence rate of the classical DE algorithm.; The algorithm of this paper is tested on 13 benchmark optimization problems with linear or/and nonlinear constraints and compared with other evolutionary algorithms. The experimental results demonstrate that the performance of IDE outperforms DE in terms of the quality of the final solution and the stability.

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Periodical:

Advanced Materials Research (Volume 267)

Pages:

632-634

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.267.632

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Online since:

June 2011

Authors:

Jing Feng Yan, Chao Feng Guo

Keywords:

Crossover Operator, Differential Evolution (DE), Evolutionary Algorithm (EA), Function Optimization

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