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Journal of Applied Sciences ›› 2012, Vol. 30 ›› Issue (4): 391-396.doi: 10.3969/j.issn.0255-8297.2012.04.011

• Computer Science and Applications • Previous Articles     Next Articles

Using Hierarchical Structure Glowworm Swarm Algorithm for Function Optimization

LI Yong-mei1;2, ZHOU Yong-quan1, WEI Jun2   

  1. 1. College of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, China
    2. School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China
  • Received:2011-03-20 Revised:2011-05-14 Online:2012-07-23 Published:2012-07-30

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Abstract:

Based on artificial glowworm swarm optimization algorithm and cooperation in hierarchical social
organization, a new hierarchical glowworm swarm optimization (HGSO) is proposed. A mutation operator is
added into the HGSO. Tests on four standard functions show that the HGSO algorithm in the high dimension
function optimization has better performance than the basic artificial GSO algorithm.

Key words: glowworm swarm algorithm, hierarchy, mutation, function optimization

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