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dc.contributor.authorOberholzer, J.A.
dc.contributor.authorHattingh, J.M.
dc.contributor.authorSteyn, T.
dc.date.accessioned2016-03-08T09:23:29Z
dc.date.available2016-03-08T09:23:29Z
dc.date.issued2014
dc.identifier.citationOberholzer, J.A. et al. 2014. Efficient waste reduction algorithms based on alternative underestimates for the modified Wang method. Orion, 30(2):73-83. [http://dx.doi.org/10.5784/30-2-143]en_US
dc.identifier.issn2224-0004
dc.identifier.issn0529-191X (Online)
dc.identifier.urihttp://hdl.handle.net/10394/16573
dc.identifier.urihttp://dx.doi.org/10.5784/30-2-143
dc.identifier.urihttp://orion.journals.ac.za/pub/article/view/143
dc.description.abstractThis paper is concerned with wastage reduction in constrained two-dimensional guillotine- cut cutting stock problems, often called trim loss problems. A number of researchers report in the literature on algorithmic approaches to find exact solutions for the trim loss problem. Alternative heuristic functions are investigated and applied to the modified Wang method. This involves the sharpening of underestimates used in the methods heuristic function. Two aspects of these solution approaches are considered and some empirical results are given. The first part considers the feasibility to construct more informed heuristic functions. The second part investigates the role of more informedness on the computational cost of these search processesen_US
dc.language.isoenen_US
dc.publisherOperations Research Society of South Africaen_US
dc.subjectCutting stocken_US
dc.subjecttrim lossen_US
dc.subjectguillotine cuttingen_US
dc.titleEfficient waste reduction algorithms based on alternative underestimates for the modified Wang methoden_US
dc.typeArticleen_US
dc.contributor.researchID10170758 - Hattingh, Johannes Michiel
dc.contributor.researchID10059199 - Steyn, Tjaart


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