Some exact algorithms for the knapsack sharing problem
โ Scribed by Takeo Yamada; Mayumi Futakawa; Seiji Kataoka
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 446 KB
- Volume
- 106
- Category
- Article
- ISSN
- 0377-2217
No coin nor oath required. For personal study only.
โฆ Synopsis
The knapsack sharing problem (KSP) is formulated as an extension to the ordinary knapsack problem. The KSP is .AlP-hard. We present a branch-and-bound algorithm and a binary search algorithm to solve this problem to optimality. These algorithms are implemented and computational experiments are carded out to analyse the behavior of the developed algorithms. As a result, we find that the binary search algorithm solves KSPs with up to 20 000 variables in less than a minute in our computing environment. (~) 1998 Elsevier Science B.V.
๐ SIMILAR VOLUMES
The Multiple Knapsack Problem (MKP) is the problem of assigning a subset of n items to m distinct knapsacks, such that the total proยฎt sum of the selected items is maximized, without exceeding the capacity of each of the knapsacks. The problem has several applications in naval as well as ยฎnancial ma
Chang et al. [Parallel Comput. (1994) 233] introduced a parallel algorithm based on a shared memory SIMD architecture for the generation phase of the classic Horowitz and Sahni [J. ACM 21(2) (1974) 277] two-list serial algorithm for the knapsack problem. They claimed that their parallel generation p