Abstract
Particle Swarm Optimization(PSO) is now widely used, due to its powerful search ability and simple implementation.
Recently, multi-objective optimization methods by PSO are receiving much attention.
There are two differences from the single objective PSO in the multi-objective PSO.
The first is an use of archive to reserve Pareto optimal candidates and
the other is a selection strategy of appropriate guides for multi-objective optimization.
In this paper, we propose a PSO model that introduces a topology-based guide selection scheme for multi-objective optimization.
The numerical simulation results show that the proposed guide selection method is effective in
the multi-objective optimization benchmark problems.
