Modified Differential Evolution Algorithm for Numerical Optimization Problems

Hong Gang Xia; Qing Zhou Wang

doi:10.4028/www.scientific.net/AMR.989-994.2536

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Modified Differential Evolution Algorithm for...

Modified Differential Evolution Algorithm for Numerical Optimization Problems

Abstract:

In this paper, a modified differential evolution algorithm (MDE) developed to solve unconstrained numerical optimization problems. The MDE algorithm employed random position updating and disturbance operation to replaces the traditional mutation operation. The former can rapidly enhance the convergence of the MDE, and the latter can prevent the MDE from being trapped into the local optimum effectively. Besides, we dynamic adjust the crossover rate (CR), which is aimed at further improving algorithm performance. Based on several benchmark experiment simulations, the MDE has demonstrated stronger convergence and stability than original differential (DE) algorithm and its two improved algorithms (JADE and SaDE) that reported in recent literature.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2536-2539

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.2536

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Online since:

July 2014

Authors:

Hong Gang Xia*, Qing Zhou Wang

Keywords:

Convergence, Disturbance, Dynamic, MDE, Position Updating

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* - Corresponding Author

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