Login New user?  
01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Volume 08 > No. 1L

 
   

A Novel Double Glowworm Swarm Co-Evolution Optimization Algorithm based Lévy Flights

PP: 355-361
Author(s)
Yongquan Zhou, Yingju Wang, Sucai He, Jinzhao Wu,
Abstract
In this paper, a novel double glowworm swarm co-evolution optimization algorithm based L´evy flights is presented. According to the different colors of light emitted by glowworm swarm, a certain amount of glowworm swarm was divided into two groups. L´evy flights with higher randomness were introduced into one group. Then the two groups of glowworm swarm seek the optimal solution simultaneously and co-evolution for achieving the global optimization. The numerical simulation results show that double glowworm swarm co-evolution optimization algorithm based L´evy flights has greatly improved than the basic algorithm in terms of overall and convergence.

  Home   About us   News   Journals   Conferences Contact us Copyright naturalspublishing.com. All Rights Reserved