A Hybrid Biased Random Key Genetic Algorithm for a Production and Cutting Problem

dc.contributor.author	José Fernando Gonçalves	en
dc.date.accessioned	2018-01-03T11:39:27Z
dc.date.available	2018-01-03T11:39:27Z
dc.date.issued	2015	en
dc.description.abstract	This paper deals with a very common problem in the home-textile industry. Given a set of orders of small rectangles of fabric the problem consists of determining the lengths and widths of a set of large rectangles of fabric to be produced and the corresponding cutting patterns. The objective is to minimize the total quantity of fabric necessary to satisfy all orders. The approach proposed uses a biased random-key genetic algorithm for generating sets of cutting patterns which are the input to a sequential heuristic procedure which generates a solution. Experimental tests based on a set of 100 random generated problems with known optimal solution validate quality of the approach.	en
dc.identifier.uri	http://repositorio.inesctec.pt/handle/123456789/5390
dc.identifier.uri	http://dx.doi.org/10.1016/j.ifacol.2015.06.130	en
dc.language	eng	en
dc.relation	5730	en
dc.rights	info:eu-repo/semantics/openAccess	en
dc.title	A Hybrid Biased Random Key Genetic Algorithm for a Production and Cutting Problem	en
dc.type	conferenceObject	en
dc.type	Publication	en

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