ITEM METADATA RECORD
Title: Improving experimental design for automatic algorithm selection techniques by using a virtual best solver
Authors: Degroote, Hans
Messelis, Tommy
De Causmaecker, Patrick
Issue Date: 5-Feb-2015
Conference: ORBEL edition:29 location:Antwerpen date:05-06 February 2015
Abstract: Evidence of the quality of metaheuristics is usually empirical. Common experimental design consists of testing a technique on benchmark instances. The goal of this article is first, to expose the flaws of this approach. Then, to illustrate how the experimental design can be improved by calculating a performance upper bound based on the instances and algorithms used. And ultimately, to introduce a tighter upper bound that also takes information about the problem features into account.
Publication status: published
KU Leuven publication type: AMa
Appears in Collections:Computer Science, Campus Kulak Kortrijk
Computer Science - miscellaneous

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