A note on "Reducing the number of binary variables in cutting stock problems"

dc.citation.epage579en_US
dc.citation.issue2en_US
dc.citation.spage569en_US
dc.citation.volume8en_US
dc.citation.woscount0
dc.contributor.authorLu, Hao-Chunen_US
dc.contributor.authorKo, Yu-Chienen_US
dc.contributor.authorHuang, Yao-Hueien_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.date.accessioned2014-12-08T15:35:06Z
dc.date.available2014-12-08T15:35:06Z
dc.date.issued2014-02-01en_US
dc.description.abstractThis study proposes a deterministic model to solve the two-dimensional cutting stock problem (2DCSP) using a much smaller number of binary variables and thereby reducing the complexity of 2DCSP. Expressing a 2DCSP with stocks and cutting rectangles requires binary variables in the traditional model. In contrast, the proposed model uses binary variables to express the 2DCSP. Experimental results showed that the proposed model is more efficient than the existing model.en_US
dc.identifier.doi10.1007/s11590-012-0598-xen_US
dc.identifier.issn1862-4472en_US
dc.identifier.journalOPTIMIZATION LETTERSen_US
dc.identifier.urihttp://dx.doi.org/10.1007/s11590-012-0598-xen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/23829
dc.identifier.wosnumberWOS:000330949700014
dc.language.isoen_USen_US
dc.subjectDeterministic modelen_US
dc.subjectCutting stock problemen_US
dc.subjectBinary variablesen_US
dc.titleA note on "Reducing the number of binary variables in cutting stock problems"en_US
dc.typeArticleen_US

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