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Erschienen in:
2008 | OriginalPaper | Buchkapitel
A Novel PSO-DE-Based Hybrid Algorithm for Global Optimization
verfasst von : Ben Niu, Li Li
Erschienen in: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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This paper presents a new hybrid global optimization algorithm PSODE combining particle swarm optimization (PSO) with differential evolution (DE). PSODE is a type of parallel algorithm, in which PSO and DE are executed in parallel to enhance the population with frequent information sharing. To demonstrate the effectiveness of the proposed algorithm, four benchmark functions are performed, and the performance of the proposed algorithm is compared to PSO and DE to demonstrate its superiority.