In the multiple-class binary knapsack problem with setups, items are partitioned into classes whose use implies a setup cost and associated capacity consumption. Item weights are assumed to be a multiple of their class weight. The total weight of selected items and setups is bounded.
Aug 1, 2009 · Knapsack problems with setups find their application in many concrete industrial and financial problems. Moreover, they also arise as ...
Knapsack problems with setups find their application in many concrete industrial and financial problems. Moreover, they also arise as subproblems in a ...
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Knapsack problems with setups find their application in many concrete industrial and financial problems. Moreover, they also arise as subproblems in a ...
After all setup variables are fixed, the models are transformed to a (several) knapsack problem(s). For each model, an independent linear knapsack problem is ...
Knapsack problems with setups find their application in many concrete industrial and financial problems. Moreover, they also arise as subproblems in a ...
Knapsack problems with setups find their application in many concrete industrial and financial problems. Moreover, they also arise as subproblems in a ...
Jul 29, 2016 · The 0–1 Knapsack Problem (KP) is one of the paradigmatic problems in combinatorial optimization where a set of items with given profits and.
Oct 22, 2024 · The Setup Knapsack problem consists in selecting items from a set of disjoint families of items, to enter a knapsack while maximizing its ...
Abstract. The Setup Knapsack problem consists in selecting items from a set of disjoint families of items, to enter a knapsack while maximizing its value.