Knapsack problem phd thesis

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No courses available. A fast large neighborhood search for disjunctively constrained knapsack problems. A hybrid guided neighborhood search for the disjunctively constrained knapsack problem. A parallel large neighborhood search-based heuristic for the disjunctively constrained knapsack problem. A fast algorithm for solving the max-min knapsack problem with two scenarios.
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"Applying the Multiple Multidimensional Knapsack Assignment Problem to " by Jocelin S. Maus

JavaScript is disabled for your browser. Some features of this site may not work without it. Applications of integer programming in open pit mining. Download Applications of integer programming in open pit mining 4. Citations Altmetric. Author Fricke, Christopher. Affiliation Department of Mathematics and Statistics.
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David Pisinger

The online knapsack problem OKP is a generalized version of the knapsack problem KP to a setting in which the problem inputs are revealed over time. Whereas the KP involves the maximization of the value of the knapsack contents without exceeding its capacity, the OKP involves the following additional requirements: items are presented one at a time, their features are only revealed at their arrival, and an immediate and irrevocable decision on the current item is required before observing the next one. This problem is known to be non-approximable in its general case.
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A consolidated collection of resources for you to learn and understand algorithms and data structures easily. Algorithms for solving the Multiple Knapsack Problem. Knapsack Problem solved using Genetic optimization algorithm. A genetic algorithm I created in order find optimal solutions for the multiple knapsack problem. A hybrid genetic and simulated annealing algorithm in solving the knapsack problem.
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