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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
Gaussian bare-bones differential evolution
IEEE Transactions on Cybernetics, Volume 43, No. 2, Year 2013
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Description
Differential evolution (DE) is a well-known algorithm for global optimization over continuous search spaces. However, choosing the optimal control parameters is a challenging task because they are problem oriented. In order to minimize the effects of the control parameters, a Gaussian bare-bones DE (GBDE) and its modified version (MGBDE) are proposed which are almost parameter free. To verify the performance of our approaches, 30 benchmark functions and two real-world problems are utilized. Conducted experiments indicate that the MGBDE performs significantly better than, or at least comparable to, several state-of-the-art DE variants and some existing bare-bones algorithms. © 2012 IEEE.
Authors & Co-Authors
Wang, Hui
China, Nanchang
Nanchang Institute of Technology
Rahnamayan, Shahryar
Canada, Oshawa
Ontario Tech University
Sun, Hui
China, Nanchang
Nanchang Institute of Technology
Omran, Mahamed G.H.
Kuwait, Hawally
Gulf University for Science and Technology Kuwait
Statistics
Citations: 236
Authors: 4
Affiliations: 3
Identifiers
Doi:
10.1109/TSMCB.2012.2213808
ISSN:
21682267