Abstract
The chapter addresses the problem of parameter evaluation for the Ant Colony Optimization (ACO) technique. The operation of the ACO is too complex to allow for an analytical approach to the problem of optimizing parameter setting. Therefore their values are usually chosen in an experimental way. The chapter presents an in depth analysis of the impact of the individual parameters on overall ACO performance and studies their interplay. The analyzed version of the ACO is used for solving the Travelling Salesmen Problem (TSP). Both static and dynamic versions of the problem are considered. In the dynamic environment 4 modes of route variability are studied. The chapter ends with a statistical analysis of data gathered in a sequence of experiments.
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Siemiński, A. (2013). Ant Colony Optimization Parameter Evaluation. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) Multimedia and Internet Systems: Theory and Practice. Advances in Intelligent Systems and Computing, vol 183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32335-5_14
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DOI: https://doi.org/10.1007/978-3-642-32335-5_14
Publisher Name: Springer, Berlin, Heidelberg
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