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Constructive heuristics for the canister filling problem

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  • Gašper Žerovnik
  • Janez Žerovnik

Abstract

The canister filling problem arises when optimizing the spent nuclear fuel repository in hard rock. It is shown the problem is NP-hard. Constructive heuristics followed by remove and reinsert local optimization are considered. Additionally, some theoretical insight on the algorithm operation is provided. Several variants of the algorithm are compared on random and realistic datasets. The obtained results have shown that constructive heuristics give satisfactory results for both random and realistic input data, although there is still some room for improvements. Copyright Springer-Verlag 2011

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  • 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.
    • Handle: RePEc:spr:cejnor:v:19:y:2011:i:3:p:371-389
    DOI: 10.1007/s10100-010-0164-5
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    Cited by:

    1. Tibor Csendes & Janez Povh & Lidija Stirn & Janez Žerovnik, 2011. "Editorial," 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 251-252, September.
    2. Andrej Kastrin & Janez Povh & Lidija Zadnik Stirn & Janez Žerovnik, 2021. "Methodologies and applications for resilient global development from the aspect of SDI-SOR special issues of CJOR," 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. 29(3), pages 773-790, September.
    3. 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.

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