MOEA/D for constrained multiobjective optimization: Some preliminary experimental results

  title={MOEA/D for constrained multiobjective optimization: Some preliminary experimental results},
  author={M. A. Jan and Qingfu Zhang},
  journal={2010 UK Workshop on Computational Intelligence (UKCI)},
This paper modifies the replacement and update scheme in MOEA/D-DE developed in [1] 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. 
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