複数局所的最適解探索のための距離情報を考慮した適合度に基づくParticle Swarm Optimization

抄録

In this letter, a Particle Swarm Optimization with fitness considering distance information is proposed. The proposed Particle Swarm Optimization is expected to obtain more multiple local optimal solutions than Firefly Algorithm which has the ablity to obtain multiple local optimal solutions. The advantage of the proposed Particle Swarm Optimization for multiple local optimal solutions search is demonstrated through some numerical simulations.