"A Total-Value Greedy Heuristic for the Integer Knapsack Problem"
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Operations Research Letters,
August
1992
Publication type: Journal article Research Archive Topic: Operations, Strategy AbstractThis paper examines a new greedy heuristic for the integer knapsack problem. The proposed heuristic selects items in non-increasing order of their maximum possible contribution to the solution value given the available knapsack capacity at each step. The lower bound on the performance ratio for this "total-value" greedy heuristic is shown to dominate the corresponding lower bound for the density-ordered greedy heuristic. Each author name for a Columbia Business School faculty member is linked to a faculty research page, which lists additional publications by that faculty member. Each topic is linked to an index of publications on that topic. |
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