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International Symposium on Experimental Algorithms

SEA 2011: Experimental Algorithms pp 65–75Cite as

A Parallel Multi-start Search Algorithm for Dynamic Traveling Salesman Problem

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6630))

Abstract

This paper introduces a multi-start search approach to dynamic traveling salesman problem (DTSP). Our experimental problem is stochastic and dynamic. Our search algorithm is dynamic because it explicitly incorporates the interaction of change and search over time. The result of our experiment demonstrates the effectiveness and efficiency of the algorithm. When we use a matrix to construct the solution attractor from the set of local optima generated by the multi-start search, the attractor-based search can provide even better result.

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Author information

Authors and Affiliations

  1. University of Michigan - Flint, 303 E. Kearsley Street, Flint, MI, 48501, U.S.A.

    Weiqi Li

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  1. Weiqi Li
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Editor information

Editors and Affiliations

  1. Center for Applied Optimization, Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA

    Panos M. Pardalos

  2. Division of Economics and Business, Colorado School of Mines, Engineering Hall 310, 816 15th Street, 80401, Golden, CO, USA

    Steffen Rebennack

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Li, W. (2011). A Parallel Multi-start Search Algorithm for Dynamic Traveling Salesman Problem. In: Pardalos, P.M., Rebennack, S. (eds) Experimental Algorithms. SEA 2011. Lecture Notes in Computer Science, vol 6630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20662-7_6

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  • DOI: https://doi.org/10.1007/978-3-642-20662-7_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20661-0

  • Online ISBN: 978-3-642-20662-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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