Parameter Adaptation in Ant Colony Optimization

@inproceedings{Sttzle2012ParameterAI,
  title={Parameter Adaptation in Ant Colony Optimization},
  author={Thomas St{\"u}tzle and Manuel L{\'o}pez-Ib{\'a}{\~n}ez and Paola Pellegrini and Michael Maur and Marco Antonio Montes de Oca and Mauro Birattari and Marco Dorigo},
  booktitle={Autonomous Search},
  year={2012}
}
This chapter reviews the approaches that have been studied for the online adaptation of the parameters of ant colony optimization (ACO) algorithms, that is, the variation of parameter settings while solving an instance of a problem. We classify these approaches according to the main classes of online parameter-adaptation techniques. One conclusion of this review is that the available approaches do not exploit an in-depth understanding of the effect of individual parameters on the behavior of… CONTINUE READING
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