抄録
This paper presents a new Particle Swarm Optimization (PSO) technique with velocity control. In PSO, when a particle finds a local optimal solution, all of the particles gather around the one, and cannot escape from it. In the proposed method, we lead the particles from intensification to diversification by adding random numbers to the velocity of the particles depending on the distance from gbest, and thereby the particles can search widely in the search space. Then, the proposed method is validated through numerical simulations with several functions which are well known as optimization benchmark problems comparing to the conventional PSO methods.
