Looking Ahead with the Pilot Method

Stefan Voßs (), Andreas Fink () and Cees Duin ()

Annals of Operations Research, 2005, vol. 136, issue 1, 285-302

Abstract: The pilot method as a meta-heuristic is a tempered greedy method aimed at obtaining better solutions while avoiding the greedy trap by looking ahead for each possible choice. Repeatedly a master solution is modified; each time in a minimal fashion to account for best choices, where choices are judged by means of a separate heuristic result, the pilot solution. The pilot method may be seen as a meta-heuristic enhancing the quality of (any) heuristic in a system for heuristic repetition. Experiments show that the pilot method as well as similar methods can behave quite competitively in comparison with well-known and accepted meta-heuristics. In this paper we review some less known results. As a higher time complexity is usually associated with repetition, we investigate a simple short-cut policy to reduce the running times, while retaining an enhanced solution quality. Furthermore, we report successful experiments that incorporate a distinguishing feature of the pilot method, which is the extension of neighborhoods into “local” search, creating tabu search hybrids. Copyright Springer Science + Business Media, Inc. 2005

Keywords: meta-heuristics; pilot method; rollout method; combinatorial optimization (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (16)

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DOI: 10.1007/s10479-005-2060-2

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