Instance-specific multi-objective parameter tuning based on fuzzy logic
Ries, Jana, Beullens, Patrick and Salt, David (2012) Instance-specific multi-objective parameter tuning based on fuzzy logic. European Journal of Operational Research, 218, 305-315. (doi:10.1016/j.ejor.2011.10.024).
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Finding good parameter values for meta-heuristics is known as the parameter setting problem. A new parameter tuning strategy, called IPTS, is proposed that is a novel instance-specific method to take the trade-off between solution quality and computational time into consideration. Two important steps in the method are an a priori statistical analysis to identify the factors that determine heuristic performance in both quality and time for a specific type of problem, and the transformation of these insights into a fuzzy inference system rule base which aims to return parameter values on the Pareto-front with respect to a decision maker’s preference.
Applied to the symmetric Travelling Salesman Problem and the meta-heuristic Guided Local Search, the approach is consistently faster than a traditional non-instance-specific parameter tuning strategy without significantly affecting solution quality; optimised for speed, computational times are shown to be on average 20 times faster while producing solutions of similar quality. A number of interesting areas for further research are discussed.
|Subjects:||H Social Sciences > HA Statistics|
|Divisions:||Faculty of Social and Human Sciences > Mathematical Sciences > Operational Research
|Date Deposited:||14 Dec 2011 15:32|
|Last Modified:||03 Apr 2012 15:31|
|Contributors:||Ries, Jana (Author)
Beullens, Patrick (Author)
Salt, David (Author)
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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