Paper Title:
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.

  Info
Periodical
Edited by
Han Zhao
Pages
467-469
DOI
10.4028/www.scientific.net/AMM.130-134.467
Citation
S. Peng, 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
Online since
October 2011
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