2012Unpublished venueRequires access

Solving Dynamic 0-1 Knapsack Problems Based on Dynamic Programming Algorithm

Suogang Gao

Open publisher page 1 citations

Abstract

Random time-varying knapsack problem(RTVKP) is a dynamic combinatorial optimization problem,is a typical NP-hard problem too.Because the value and size of items and the size of knapsack can change along with the time,it causes that solving this problem is more difficult.We proposed an efficient algorithm for solving RTVKP with dynamic size of knapsack based on dynamic programming method,and analyzed the complexity of new algorithm and the condition of its successful executing.The results of simulation computation show that the exact algorithm is an efficient algorithm for solving RTVKP.

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What this paper is about

Random time-varying knapsack problem(RTVKP) is a dynamic combinatorial optimization problem,is a typical NP-hard problem too.Because the value and size of items and the size of knapsack can change along with the time,it causes that solving this problem is more difficult.We proposed an efficient algorithm for solving RTVKP with dynamic size of knapsack based on dynamic programming method,and analyzed the complexity of new algorithm and the condition of its successful executing.The results of simulation computation show that the exact algorithm is an efficient algorithm for solving RTVKP.

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Available abstract

Random time-varying knapsack problem(RTVKP) is a dynamic combinatorial optimization problem,is a typical NP-hard problem too.Because the value and size of items and the size of knapsack can change along with the time,it causes that solving this problem is more difficult.We proposed an efficient algorithm for solving RTVKP with dynamic size of knapsack based on dynamic programming method,and analyzed the complexity of new algorithm and the condition of its successful executing.The results of simulation computation show that the exact algorithm is an efficient algorithm for solving RTVKP.

Key concepts: Knapsack problem, Continuous knapsack problem, Change-making problem, Computer science, Dynamic programming, Polynomial-time approximation scheme, Computation, Algorithm

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