MOEA/D for constrained multiobjective optimization: Some preliminary experimental results
Muhammad Asif Jan, Qingfu Zhang · 2010
This paper modifies the replacement and update scheme in MOEA/D-DE developed in for dealing with constraints in multiobjective optimization problems. The modified scheme introduces a penalty function to penalize infeasible solutions. The penalty function uses a threshold to control the amount of penalty to infeasible solutions. Experimental results have shown that this penalty method is very promising.