Weighted Optimization Framework for Large-scale Multi-objective Optimization

  title={Weighted Optimization Framework for Large-scale Multi-objective Optimization},
  author={Heiner Zille and Hisao Ishibuchi and Sanaz Mostaghim and Yusuke Nojima},
In this work we introduce a new method for solving multi-objective optimization problems that involve a large number of decision variables. The proposed Weighted Optimization Framework (WOF) relies on variable grouping and weighting to transform the original optimization problem and is designed as a generic method that can be used with any population-based algorithm. Our experiments use the WFG benchmark problems with 2 and 3 objectives and 1000 variables. Using WOF on two well-known algorithms… CONTINUE READING

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