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Proceedings Paper

Modified scale factor of differential evolution
Author(s): Yu Xie; Chunxia Zhao; Haofeng Zhang; Debao Chen
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Paper Abstract

Differential Evolution (DE) is a simple yet efficient stochastic algorithm for solving real world problems. However, the performance of DE is sensitive to the mutation and crossover strategies and their associated parameters. In this paper, a kind of scale factor generating scheme within the process of search is proposed, named MSFDE, to enhance the performance of DE. In this method, the scale factor is a D dimensional matrix which component is a random number for each difference vector during the iteration. The proposed scheme has been evaluated on a test-suite of 25 benchmark functions provided by CEC 2005 special session on real parameter optimization. The results of the experiments indicate that MDVDE is competitive to classical DE and some other variants on different strategies.

Paper Details

Date Published: 27 October 2013
PDF: 6 pages
Proc. SPIE 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing, 892008 (27 October 2013); doi: 10.1117/12.2030383
Show Author Affiliations
Yu Xie, Nanjing Univ. of Science and Technology (China)
Chunxia Zhao, Nanjing Univ. of Science and Technology (China)
Haofeng Zhang, Nanjing Univ. of Science and Technology (China)
Debao Chen, Huaibei Normal Univ. (China)


Published in SPIE Proceedings Vol. 8920:
MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing
Jianguo Liu, Editor(s)

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