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

Abstract:

Article Preview

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 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

Online since:

October 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.