Abstract
An improved hybrid particle swarm optimization (PSO) that incorporates a wavelet-based multi-mutation operation is proposed. It applies wavelet theory to enhance PSO in exploring solution spaces more effectively for better solutions. A suite of benchmark test functions are 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 | APSIPA ASC 2009 - Asia-Pacific Signal and Information Processing Association 2009 Annual Summit and Conference |
Pages | 730-737 |
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