Population-based Algorithm Portfolios with automated constituent algorithms selection

@article{Tang2014PopulationbasedAP,
  title={Population-based Algorithm Portfolios with automated constituent algorithms selection},
  author={Ke Tang and Fei Peng and Guoliang Chen and Xin Yao},
  journal={Inf. Sci.},
  year={2014},
  volume={279},
  pages={94-104}
}
Population-based Algorithm Portfolios (PAP) is an appealing framework for integrating different Evolutionary Algorithms (EAs) to solve challenging numerical optimization problems. Particularly, PAP has shown significant advantages to single EAs when a number of problems need to be solved simultaneously. Previous investigation on PAP reveals that choosing appropriate constituent algorithms is crucial to the success of PAP. However, no method has been developed for this purpose. In this paper, an… CONTINUE READING

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