Real-world multiobjective optimization problems (MOPs) usually have conflicting and differently scaled objectives. To deal with such problems, objective space normalization is widely used in the ...

This paper presents a new particle swarm optimizer for solving multimodal multiobjective optimization problems which may have more than one Pareto-optimal solution corresponding to the same objective ...