Titlebook: Operational Research; IO 2013 - XVI Congre Jo?o Paulo Almeida,José Fernando Oliveira,Alberto Conference proceedings 2015 Springer Internat

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thwart

Testing Regularity on Linear Semidefinite Optimization Problems,s constraint qualifications (CQ) and well-posedness. In the absence of regularity, the characterization of optimality may fail and the convergence of algorithms is not guaranteed. Therefore, it is important to have procedures that verify the regularity of a given problem before applying any (standar

Malcontent

Decompositions and a Matheuristic for a Forest Harvest Scheduling Problem,to maximum area restrictions. Each of the four decomposition models can be seen as a Dantzig-Wolfe decomposition of the so-called bucket formulation (compact mixed integer program), in two cases with additional constraints on the connectivity of the buckets. The matheuristic is based on one of the d

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stroke

Emasculate

Culmination

correspondent

Production Planning of Perishable Food Products by Mixed-Integer Programming,stic base model and build a road-map on how to incorporate key features of food production planning. The different “ingredients” are organized around the model components to be extended: constraints, objective functions and parameters. We cover issues such as expiry dates, customers’ behavior, disca

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輕而薄

Maria Emília Dias Alves,Maria C. A. Silva Portelares Kunden?– also in seinem Gehirn?– ab. Das Gehirn des Kunden bildet sozusagen Ihren Zauberkessel, in dem Sie Ihre Suppe brauen, die?– bei guter Würzung?– für jeden Kunden nach ?Kaufen“ schmeckt. Der Zauberkessel Ihres Kunden ist jedoch nicht von vornherein leer und muss von Ihnen daher auch nicht