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An Iterated Local Search Algorithm for Solving the Orienteering Problem with Time Windows

  • Aldy GunawanEmail author
  • Hoong Chuin Lau
  • Kun Lu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9026)

Abstract

The Orienteering Problem with Time Windows (OPTW) is a variant of the Orienteering Problem (OP). Given a set of nodes including their scores, service times and time windows, the goal is to maximize the total of scores collected by a particular route considering a predefined time window during which the service has to start. We propose an Iterated Local Search (ILS) algorithm to solve the OPTW, which is based on several LocalSearch operations, such as swap, 2-opt, insert and replace. We also implement the combination between AcceptanceCriterion and Perturbation mechanisms to control the balance between diversification and intensification of the search. In Perturbation, Shake strategy is introduced. The computational results obtained by our proposed algorithm are compared against optimal solutions or best known solution values obtained by state-of-the-art algorithms. We show experimentally that our proposed algorithm is effective on well-known benchmark instances available in the literature. It is also able to improve the best known solution of some benchmark instances.

Keywords

Orienteering problem Time windows Iterated local search 

Notes

Acknowledgements

This research is supported by Singapore National Research Foundation under its International Research Centre @ Singapore Funding Initiative and administered by the IDM Programme Office, Media Development Authority (MDA).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.School of Information SystemsSingapore Management UniversitySingaporeSingapore

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