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Heuristics for NP-hard optimization problems - simpler is better!?

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  • Žerovnik Janez

    (FME, University of Ljubljana , Slovenia)

Abstract

We provide several examples showing that local search, the most basic metaheuristics, may be a very competitive choice for solving computationally hard optimization problems. In addition, generation of starting solutions by greedy heuristics should be at least considered as one of very natural possibilities. In this critical survey, selected examples discussed include the traveling salesman, the resource-constrained project scheduling, the channel assignment, and computation of bounds for the Shannon capacity.

Suggested Citation

  • Žerovnik Janez, 2015. "Heuristics for NP-hard optimization problems - simpler is better!?," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 6(1), pages 1-10, November.
    • Handle: RePEc:vrs:losutr:v:6:y:2015:i:1:p:1-10:n:1
    DOI: 10.1515/jlst-2015-0006
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    References listed on IDEAS

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    1. Gašper Žerovnik & Janez Žerovnik, 2011. "Constructive heuristics for the canister filling problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(3), pages 371-389, September.
    2. Kolisch, Rainer & Hartmann, Sönke, 1999. "Heuristic algorithms for the resource-constrained project scheduling problem: classification and computational analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 10966, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Kolisch, Rainer & Hartmann, Sonke, 2006. "Experimental investigation of heuristics for resource-constrained project scheduling: An update," European Journal of Operational Research, Elsevier, vol. 174(1), pages 23-37, October.
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