Constrained Multi-Objective Optimization Algorithm with Ensemble of Constraint Handling Methods

Different constraint handling techniques have been used with multiobjective evolutionary algorithms (MOEA) to solve constrained multiobjective optimization problems. It is impossible for a single constraint handling technique to outperform all other constraint handling techniques always on every problem irrespective of the exhaustiveness of parameter tuning. To overcome this selection problem, we use an ensemble of constraint handling methods (ECHM) to tackle constrained multiobjective optimization problems. The ECHM is integrated with multi-objective differential evolution (MODE) algorithm. The performance is compared between the ECHM and the same single constraint handling methods using the same MODE. The results show that ECHM overall outperforms the single constraint handling methods. Index Terms Multiobjective evolutionary algorithms, constrained multiobjective optimization, ensemble of constraint handling methods, multi-objective differential evolution.