Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15443
Title: Multi-level regression analysis as a tool to design and evaluate heuristic algorithms
Authors: CARIS, An 
DEPAIRE, Benoit 
Issue Date: 2013
Source: EURO 26th European conference on operational research, Rome, 1-4 July, 2013
Abstract: In this paper we propose an experimental setup and statistical methodology to design and evaluate heuristic algorithms. We apply our approach to various heuristics proposed in literature for the classical VRPTW. First, a multi-level regression analysis is used to determine the algorithms’ optimal parameter values and to construct decision rules stating which heuristic elements should be activated for a particular problem instance. Second, the performance of the various algorithms are statistically compared.
Document URI: http://hdl.handle.net/1942/15443
Link to publication: http://www.euro-online.org/conf/admin/tmp/program-euro26.pdf
Category: C2
Type: Conference Material
Appears in Collections:Research publications

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