27 October 2013 Modified scale factor of differential evolution
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Proceedings Volume 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing; 892008 (2013) https://doi.org/10.1117/12.2030383
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
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.
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Yu Xie, Chunxia Zhao, Haofeng Zhang, Debao Chen, "Modified scale factor of differential evolution", Proc. SPIE 8920, MIPPR 2013: Parallel Processing of Images and Optimization and Medical Imaging Processing, 892008 (27 October 2013); doi: 10.1117/12.2030383; https://doi.org/10.1117/12.2030383
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