{"refrec":{"BRefID":257236,"RR":"<b>Verstichel, J.; De Causmaecker, P.; Spieksma, F.; Vanden Berghe, G.</b> (2014). Exact and heuristic methods for placing ships in locks. <i>Eur. J. Oper. Res. 235(2)</i>: 387-398. <a href=\"https://dx.doi.org/10.1016/j.ejor.2013.06.045\" target=\"_blank\">https://dx.doi.org/10.1016/j.ejor.2013.06.045</a>","BEntID":249245,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Eur. J. Oper. Res. 235(2)</i>: 387-398. <a href=\"https://dx.doi.org/10.1016/j.ejor.2013.06.045\" target=\"_blank\">https://dx.doi.org/10.1016/j.ejor.2013.06.045</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Verstichel, J.; De Causmaecker, P.; Spieksma, F.; Vanden Berghe, G.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Verstichel, J. <i>et al.</i>","Englishabstract":"The ship placement problem constitutes a daily challenge for planners in tide river harbours. In essence, it entails positioning a set of ships into as few lock chambers as possible while satisfying a number of general and specific placement constraints. These constraints make the ship placement problem different from traditional 2D bin packing. A mathematical formulation for the problem is presented. In addition, a decomposition model is developed which allows for computing optimal solutions in a reasonable time. A multi-order best fit heuristic for the ship placement problem is introduced, and its performance is compared with that of the left-right-left-back heuristic. Experiments on simulated and real-life instances show that the multi-order best fit heuristic beats the other heuristics by a landslide, while maintaining comparable calculation times. 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