Parameter Adaptation in Ant Colony Optimization

  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},
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
Highly Cited
This paper has 97 citations. REVIEW CITATIONS

15 Figures & Tables



Citations per Year

97 Citations

Semantic Scholar estimates that this publication has 97 citations based on the available data.

See our FAQ for additional information.