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An Efficient Hybrid Search Algorithm for Various Optimization Problems

  • Conference paper
Evolutionary Computation in Combinatorial Optimization (EvoCOP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3906))

Abstract

This paper describes a detailed study of a recursive search algorithm for different optimization problems. Although the algorithm has been originally developed for a project scheduling problem with financial objectives, we show that it can be extended to many other application areas and therefore, can serve as a sub-procedure for various optimization problems. The contribution of the paper is threefold. First, we present a hybrid recursive search procedure for the project scheduling problem with net present value maximization and compare it with state-of-the-art procedures by means of computational tests. Second, we show how the procedure can be adapted to two other application areas: project scheduling with work continuity minimization and the open pit mining problem. Last, we highlight some future research areas where this hybrid procedure might bring a promising contribution.

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Author information

Authors and Affiliations

  1. Ghent University, Hoveniersberg 24, 9000, Ghent, Belgium

    Mario Vanhoucke

  2. Vlerick Leuven Gent Management School, Reep 1, 9000, Ghent, Belgium

    Mario Vanhoucke

Authors
  1. Mario Vanhoucke
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Editor information

Editors and Affiliations

  1. SAP AG, Neurottstr. 16, 69190, Walldorf, Germany

    Jens Gottlieb

  2. Institute of Computer Graphics and Algorithms, Vienna University of Technology, Favoritenstraße 9–11/1861, 1040, Vienna, Austria

    Günther R. Raidl

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© 2006 Springer-Verlag Berlin Heidelberg

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Vanhoucke, M. (2006). An Efficient Hybrid Search Algorithm for Various Optimization Problems. In: Gottlieb, J., Raidl, G.R. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2006. Lecture Notes in Computer Science, vol 3906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11730095_23

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  • DOI: https://doi.org/10.1007/11730095_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33178-0

  • Online ISBN: 978-3-540-33179-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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