Effective local evolutionary searches distributed on an island model solving bi-objective optimization problems

@article{Cheshmehgaz2012EffectiveLE,
  title={Effective local evolutionary searches distributed on an island model solving bi-objective optimization problems},
  author={Hossein Rajabalipour Cheshmehgaz and Mohammad Ishak Desa and Antoni Wibowo},
  journal={Applied Intelligence},
  year={2012},
  volume={38},
  pages={331-356}
}
Using multiple local evolutionary searches, instead of single and overall search, has been an effective technique to solve multi-objective optimization problems (MOPs). With this technique, many parallel and distributed multi-objective evolutionary algorithms (dMOEAs) on different island models have been proposed to search for optimal solutions, efficiently and effectively. These algorithms often use local MOEAs on their islands in which each local search is considered to find a part of optimal… CONTINUE READING
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