caa a22 4500 445359641 CHVBK 20180317142911.0 cr unu---uuuuu 170323e20110901xx s 000 0 eng 10.1007/s10100-010-0164-5 doi (NATIONALLICENCE)springer-10.1007/s10100-010-0164-5 Constructive heuristics for the canister filling problem [Elektronische Daten] [Gašper Žerovnik, Janez Žerovnik] 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. Springer-Verlag, 2010 Combinatorial optimization nationallicence Canister filling problem nationallicence Cardinality constrained bin packing nationallicence Spent nuclear fuel nationallicence Remove and reinsert heuristics nationallicence Žerovnik Gašper Reactor Physics Division, Jožef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia aut Žerovnik Janez Department of Mathematics, Institute of Mathematics, Physics and Mechanics, Jadranska 19, 1000, Ljubljana, Slovenia aut Central European Journal of Operations Research Springer-Verlag 19/3(2011-09-01), 371-389 1435-246X 19:3<371 2011 19 10100 https://doi.org/10.1007/s10100-010-0164-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10100-010-0164-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Žerovnik Gašper Reactor Physics Division, Jožef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia aut NATIONALLICENCE 700 1- Žerovnik Janez Department of Mathematics, Institute of Mathematics, Physics and Mechanics, Jadranska 19, 1000, Ljubljana, Slovenia aut NATIONALLICENCE 773 0- Central European Journal of Operations Research Springer-Verlag 19/3(2011-09-01), 371-389 1435-246X 19:3<371 2011 19 10100 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer