A Novel PSO-DE-Based Hybrid Algorithm for Global Optimization

Authors:
Ben Niu;Li Li
Affiliations:
School of Management, Shenzhen University, Shenzhen, P.R. China 518060;School of Management, Shenzhen University, Shenzhen, P.R. China 518060
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Year:
2008

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Abstract

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.