A New Self-Organizing Migrating Algorithm Based on Dynamic Hybrid Migrating

Abstract:

A new self-organizing migrating algorithm named the Dynamic Hybrid Self-Organizing Migrating Algorithm (DHSOMA) is proposed in this paper. First the DHSOMA get the individual’s rank in the population; if the rank of the individual is good, then the DHSOMA randomly selects an individual in population for cooperation evolution; else the DHSOMA takes the individuals dynamic self-organizing migrating. In this way, it accelerates the rate of convergence as well as the searching optima ability. Finally, in the numerical experiments show the performance is much better than HBSOMA and SOMA.

• Periodical: Applied Mechanics and Materials (Volumes 130-134)
• Pages: 467-469
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.130-134.467
• Online since: October 2011
• Authors: Sheng Peng, Yuan Xiang Li
• Keywords: Dynamic Hybrid Migrating, Evolutionary Algorithm (EA), Self-Organizing Migrating Algorithm

References

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