Logo Goletty

Population Migration Algorithm Description Method and Application Based on Unified Framework of Swarm Intelligence
Journal Title Journal of Networks
Journal Abbreviation jnw
Publisher Group Academy Publisher
Website http://ojs.academypublisher.com
PDF (363 kb)
   
Title Population Migration Algorithm Description Method and Application Based on Unified Framework of Swarm Intelligence
Authors Ouyang, Aijia; Zhou, Yongquan; Zhang, Weiwei
Abstract Population migration algorithm (PMA) is proposed in recent years, it’s a new search algorithm for global optimization that mainly simulates population transition with economics and dispersion with population pressure increment, the former encourages the algorithm to search in a region with good solutions, the latter avoids getting stuck in a local optimum to a certain degree. So far, and there was no unified framework to describe this algorithm. This paper describes the population migration algorithm based on a unified framework of swarm intelligence, as well as combination with chaos map, a chaos population migration and PMA for training RBF neural network algorithm are  proposed. Finally, two numerical experiment examples results show that the PMA algorithm is effective and accuracy.
Publisher ACADEMY PUBLISHER
Date 2010-04-01
Source Journal of Networks Vol 5, No 4 (2010): Special Issue: Selected Best Papers of 2009 WASE International Conference on In
Rights Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. 

 

See other article in the same Issue


Goletty © 2024