A New Self-Organizing Migrating Algorithm Based on Dynamic Hybrid Migrating
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.
S. Peng and Y. X. Li, "A New Self-Organizing Migrating Algorithm Based on Dynamic Hybrid Migrating", Applied Mechanics and Materials, Vols. 130-134, pp. 467-469, 2012