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A Novel Differential Evolution with Co-evolution Strategy
Journal Title Journal of Computers
Journal Abbreviation jcp
Publisher Group Academy Publisher
Website http://ojs.academypublisher.com
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Title A Novel Differential Evolution with Co-evolution Strategy
Authors Chien, Wan-Jou; Lee, Wei-Ping
Abstract Differential evolution, termed DE, is a novel and rapidly developed evolution computation in recent years. There are some advantages of DE, including simple structure, easy use and rapid convergence speed. Besides, DE can be also applied on the complex optimization problem. However, there are some issues, such as premature convergence and stagnation, remaining in DE algorithm. To overcome those disadvantages, a different method was proposed, named CO-DE, by combining with a simple co-evolutionary model and reset mechanism. Thus, CO-DE can maintain appropriate swarm diversity and reduce the premature convergence. On the other hand, a reset mechanism was set to avoid the particle stagnates, which can further improve the performance of differential evolution. The proposed model can be now successfully applied with some well-known benchmark functions. 
Publisher ACADEMY PUBLISHER
Date 2011-03-01
Source Journal of Computers Vol 6, No 3 (2011): Special Issue: E-Service and Applications
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