Hybrid Artificial Glowworm Swarm Optimization Algorithm for Solving Constrained Engineering Problem

Abstract:

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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 and 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:

$35.00

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