Hybrid Artificial Glowworm Swarm Optimization Algorithm for Solving Constrained Engineering Problem
Qi Fang Luo, Junli Zhang · Advanced materials research · 2011
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.