A GRASP algorithm to optimize operational costs and regularity of production in mixed-model sequencing problems with forced interruption of operations
Document typePart of book or chapter of book
Rights accessRestricted access - publisher's policy
This book constitutes the refereed proceedings of the 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, held in Granada, Spain, in October 2018. The 36 full papers presented were carefully selected from 240 submissions. The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum open to researchers from all over the world to present and discuss their latest scientific and technological advances in Antificial Intelligence (AI). Authors are kindly requested to submit unpublished original papers describing relevant research on AI issues from all points of view: formal, methodological, technical or applied.
CitationBautista, J., Alfaro, R. A GRASP algorithm to optimize operational costs and regularity of production in mixed-model sequencing problems with forced interruption of operations. A: "Advances in Artificial Intelligence. CAEPIA 2018. Lecture Notes in Computer Science, vol 11160. Springer, Cham". Berlín: Springer, 2018, p. 319-329.