An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization

It is well known that it very difficult to solve constrained multiobjective optimization problems. Such problems not only need optimize the objective function but also consider constraints. The epsilon constraint handling method commonly used, which releases degree of violations by defining a gradually decayed epsilon. However, for solutions whose overall greater than epsilon, original cannot guarantee diversity and are considered. To this issue, paper proposed an infeasible maintenance strategy experimental results show our algorithm competitive with other state-of-the-art algorithms