Hybrid Artificial Glowworm Swarm Optimization Algorithm for Solving Constrained Engineering Problem
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.
Helen Zhang, Gang Shen and David Jin
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