Abstract
An improved Differential Evolution (DE) that incorporates a wavelet-based mutation operation to control the scaling factor is proposed. The wavelet theory applied is to enhance DE in exploring the solution spaces more effectively for better solutions. A suite of benchmark test functions is employed to evaluate the performance of the proposed method. It is shown empirically that the proposed method outperforms significantly the existing methods in terms of convergence speed, solution quality and solution stability.
Original language | English |
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Title of host publication | 2009 IEEE Congress on Evolutionary Computation, CEC 2009 |
Pages | 1116-1122 |
Number of pages | 7 |
DOIs | |
Publication status | Published - 25 Nov 2009 |
Event | 2009 IEEE Congress on Evolutionary Computation, CEC 2009 - Trondheim, Norway Duration: 18 May 2009 → 21 May 2009 |
Conference
Conference | 2009 IEEE Congress on Evolutionary Computation, CEC 2009 |
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Country/Territory | Norway |
City | Trondheim |
Period | 18/05/09 → 21/05/09 |
ASJC Scopus subject areas
- Artificial Intelligence
- Computational Theory and Mathematics
- Theoretical Computer Science