Paper Title:
Hybrid Artificial Glowworm Swarm Optimization Algorithm for Solving Constrained Engineering Problem
  Abstract

In this paper, based on glowworm swarm (GS) and artificial fish swarm (AFS) with differential evolution (DE) optimization algorithm, a new hybrid artificial glowworm swarm optimization (HGSO) algorithm is proposed. We use HGSO to solve engineering optimization design problem. The results show that the HGSO has faster convergence, higher precision and is more effective for solving constrained engineering optimization problem.

  Info
Periodical
Advanced Materials Research (Volumes 204-210)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
823-827
DOI
10.4028/www.scientific.net/AMR.204-210.823
Citation
Q. F. Luo, J. L. Zhang, "Hybrid Artificial Glowworm Swarm Optimization Algorithm for Solving Constrained Engineering Problem", Advanced Materials Research, Vols. 204-210, pp. 823-827, 2011
Online since
February 2011
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Price
$32.00
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