Modified scale factor of differential evolution

Yu Xie; Chunxia Zhao; Haofeng Zhang; Debao Chen

doi:10.1117/12.2030383

27 October 2013 Modified scale factor of differential evolution

Yu Xie, Chunxia Zhao, Haofeng Zhang, Debao Chen

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.

Citation Download Citation

Yu Xie, Chunxia Zhao, Haofeng Zhang, and 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); https://doi.org/10.1117/12.2030383

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available