Abstract
An improved Differential Evolution (DE) that incorporates wavelet-based mutation and crossover operations is proposed. In the mutation operation, the scaling factor is controlled by a wavelet function. In the crossover operation, the trial population vectors are modified by a wavelet function. The wavelet theory applied is to enhance DE in exploring the solution space more effectively for a better solution. A suite of benchmarktest functions is employed to evaluate the performance of the proposed method. It is shown empirically that the proposed method outperforms significantly the conventional methods in terms of convergence speed, solution quality and solution stability.
Original language | English |
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Title of host publication | APSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference |
Pages | 722-729 |
Number of pages | 8 |
Publication status | Published - 1 Dec 2009 |
Event | Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009 - Sapporo, Japan Duration: 4 Oct 2009 → 7 Oct 2009 |
Conference
Conference | Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference, APSIPA ASC 2009 |
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Country/Territory | Japan |
City | Sapporo |
Period | 4/10/09 → 7/10/09 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
- Electrical and Electronic Engineering
- Communication