Glowworm Swarm Optimization Algorithm with Improved Movement Pattern

Aiming at the problem of the glowworm swarm optimization algorithm having low convergence speed and accuracy in the later period, a new glowworm swarm optimization algorithm with improved movement pattern (IMGSO) is presented that is based on adaptive step and global information. Depending on the effect of step size and the direction of movement on the convergence, IMGSO algorithm improves convergence by adding global information and adaptive step during the course of movement. Finally, the algorithm is employed for six typical test functions and the results show that it increases greatly convergence speed and accuracy and has strong ability of global optimization.