Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization

@inproceedings{Qian2016SelectionHC,
  title={Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization},
  author={Chao Qian and Ke Tang and Zhi-Hua Zhou},
  booktitle={PPSN},
  year={2016}
}
Selection hyper-heuristics are automated methodologies for selecting existing low-level heuristics to solve hard computational problems. They have been found very useful for evolutionary algorithms when solving both single and multi-objective real-world optimization problems. Previous work mainly focuses on empirical study, while theoretical study, particularly in multi-objective optimization, is largely insufficient. In this paper, we use three main components of multi-objective evolutionary… CONTINUE READING
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