A hyper-heuristic of scalarizing functions

@inproceedings{Gmez2017AHO,
  title={A hyper-heuristic of scalarizing functions},
  author={Raquel Hern{\'a}ndez G{\'o}mez and Carlos A. Coello Coello},
  booktitle={GECCO},
  year={2017}
}
Scalarizing functions have been successfully used by Multi-Objective Evolutionary Algorithms (MOEAs) for the fitness assignment process. Their popularity has to do with their low computational cost, their capability to generate (weakly) Pareto optimal solutions, and their effectiveness in solving many-objective optimization problems. Nevertheless, recent studies indicate that the search behavior of MOEAs strongly depends on the choice of the scalarizing function. Besides, this specification… CONTINUE READING

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