Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis

@article{Consoli2016DynamicSO,
  title={Dynamic selection of evolutionary operators based on online learning and fitness landscape analysis},
  author={Pietro A. Consoli and Yi Mei and Leandro L. Minku and Xin Yao},
  journal={Soft Computing},
  year={2016},
  volume={20},
  pages={3889-3914}
}
Self-adaptive mechanisms for the identification of the most suitable variation operator in evolutionary algorithms rely almost exclusively on the measurement of the fitness of the offspring, which may not be sufficient to assess the optimality of an operator (e.g., in a landscape with an high degree of neutrality). This paper proposes a novel adaptive operator selection mechanism which uses a set of four fitness landscape analysis techniques and an online learning algorithm, dynamic weighted… CONTINUE READING
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