Hybrid Self-Adaptive Evolution Strategies Guided by Neighborhood Structures for Combinatorial Optimization Problems

@article{Coelho2016HybridSE,
  title={Hybrid Self-Adaptive Evolution Strategies Guided by Neighborhood Structures for Combinatorial Optimization Problems},
  author={Vitor Naz{\'a}rio Coelho and Igor Machado Coelho and Marcone J. F. Souza and Thays A. Oliveira and Luciano Perdig{\~a}o Cota and Matheus Nohra Haddad and Nenad Mladenovic and Rodrigo C{\'e}sar Pedrosa Silva and Frederico G. Guimar{\~a}es},
  journal={Evolutionary Computation},
  year={2016},
  volume={24},
  pages={637-666}
}
This article presents an Evolution Strategy (ES)--based algorithm, designed to self-adapt its mutation operators, guiding the search into the solution space using a Self-Adaptive Reduced Variable Neighborhood Search procedure. In view of the specific local search operators for each individual, the proposed population-based approach also fits into the… CONTINUE READING