Bayesian Parameter Tuning of the Ant Colony Optimization Algorithm : Applied to the Asymmetric Traveling Salesman Problem
The parameter settings are vital for meta-heuristics to be able to approximate the problems they are applied to. Good parameter settings are difficult to find as there are no general rules for finding them. Hence, they are often manually selected, which is seldom feasible and can give results far fr...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2021
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302801 |