Species-based genetic algorithm for multiobjective optimization problems

Considering that evolutionary multiobjective optimization has been becoming one of research topics in evolutionary algorithm community recently, a species-based mechanism was introduced into multi-objective GA, which is initially applied into GA for multi-modal optimization problem. And then a new species-based method was designed and proposed for multiobjective optimization problem, which comprises a species seed indentifying strategy based on Pareto optimality and crowd degree and an adaptive species constructing scheme. Experimental results showed that the proposed species-based multiobjective GA outperforms nondominated sorting GA II(NSGA-II) on a set of benchmark test problems.