Title
Unbounded knapsack problem: Dynamic programming revisited
Abstract
We present EDUK, an efficient dynamic programming algorithm for the unbounded knapsack problem. It is based primarily on a new and useful dominance relation, called threshold dominance, which is a strict generalization of all the previously known dominance relations. We show that combining it with a sparse representation of the iteration domain and the periodicity property leads to a drastic reduction of the solution space. We present computational experiments with various data instances to validate our ideas and demonstrate the efficiency of EDUK vis-à-vis the well-known exact algorithm MTU2.
Year
DOI
Venue
2000
10.1016/S0377-2217(99)00265-9
European Journal of Operational Research
Keywords
Field
DocType
Integer programming,Dominances,Dynamic programming,Periodicity,Combinatorial optimization
Dynamic programming,Mathematical optimization,Exact algorithm,Change-making problem,Continuous knapsack problem,Combinatorial optimization,Integer programming,Cutting stock problem,Knapsack problem,Mathematics
Journal
Volume
Issue
ISSN
123
2
0377-2217
Citations 
PageRank 
References 
54
2.95
6
Authors
3
Name
Order
Citations
PageRank
Rumen Andonov126924.24
Vincent Poirriez2897.64
Sanjay V. Rajopadhye338536.92