Instance-specific multi-objective parameter tuning based on fuzzy logic

Ries, Jana, Beullens, Patrick and Salt, David (2011) Instance-specific multi-objective parameter tuning based on fuzzy logic European Journal of Operational Research, 218, (2), pp. 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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1016/j.ejor.2011.10.024
ISSNs: 0377-2217 (print)
Keywords: metaheuristics, combinatorial optimisation, travelling salesman problem, parameter setting, fuzzy logic
Organisations: Operational Research
ePrint ID: 205873
Date :
Date Event
4 November 2011e-pub ahead of print
16 April 2012Published
Date Deposited: 14 Dec 2011 15:32
Last Modified: 18 Apr 2017 01:03
Further Information:Google Scholar

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