Title
Labeling algorithms for multiple objective integer knapsack problems
Abstract
The paper presents a generic labeling algorithm for finding all nondominated outcomes of the multiple objective integer knapsack problem (MOIKP). The algorithm is based on solving the multiple objective shortest path problem on an underlying network. Algorithms for constructing four network models, all representing the MOIKP, are also presented. Each network is composed of layers and each network algorithm, working forward layer by layer, identifies the set of all permanent nondominated labels for each layer. The effectiveness of the algorithms is supported with numerical results obtained for randomly generated problems for up to seven objectives while exact algorithms reported in the literature solve the multiple objective binary knapsack problem with up to three objectives. Extensions of the approach to other classes of problems including binary variables, bounded variables, multiple constraints, and time-dependent objective functions are possible.
Year
DOI
Venue
2010
10.1016/j.cor.2009.06.026
Computers & OR
Keywords
DocType
Volume
forward layer,network algorithm,underlying network,network model,multiple constraint,multiple objective binary knapsack,multiple objective shortest path,time-dependent objective function,exact algorithm,multiple objective integer knapsack
Journal
37
Issue
ISSN
Citations 
4
Computers and Operations Research
12
PageRank 
References 
Authors
0.77
13
3
Name
Order
Citations
PageRank
José Rui Figueira185259.84
Gabriel Tavares2754.13
Margaret M. Wiecek321322.90