A Novel Double Glowworm Swarm Co-Evolution Optimization Algorithm based L�vy Flights

Abstract

In this paper, a novel double glowworm swarm co-evolution optimization algorithm based Lflights is presented. According to the different colors of light emitted by glowworm swarm, a certain amount of glowworm swarm was divided into two groups. L´ evy flights with higher randomness were introduced into one group. Then the two groups of glowworm swarm seek the optimal solution simultaneously and co-evolution for achieving the global optimization. The numerical simulation results show that double glowworm swarm co-evolution optimization algorithm based Lflights has greatly improved than the basic algorithm in terms of overall and convergence.