Paper Title:
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.

  Info
Periodical
Edited by
Yanwen Wu
Pages
632-634
DOI
10.4028/www.scientific.net/AMR.267.632
Citation
J. F. Yan, C. F. Guo, "An Improved Differential Evolution and its Application in Function Optimization Problem", Advanced Materials Research, Vol. 267, pp. 632-634, 2011
Online since
June 2011
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