Indicator-based multi-objective local search

@article{Basseur2007IndicatorbasedML,
  title={Indicator-based multi-objective local search},
  author={Matthieu Basseur and Edmund K. Burke},
  journal={2007 IEEE Congress on Evolutionary Computation},
  year={2007},
  pages={3100-3107}
}
This paper presents a simple and generic indicator-based multi-objective local search. This algorithm is a direct extension of the IBEA algorithm, an indicator- based evolutionary algorithm proposed in 2004 by Zitzler and Kuenzli, where the optimization goal is defined in terms of a binary indicator defining the selection operator. The methodology proposed in this paper has been defined in order to be easily adaptable and to be as parameter-independent as possible. We carry out a range of… CONTINUE READING
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