Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.advengsoft.2006.06.003
Title: An efficient solution to biobjective generalized assignment problem
Authors: Zhang, C.W.
Ong, H.L. 
Keywords: ε-Nondominated solution
Generalized assignment problem
LP-based heuristic
Multiobjective integer programming
Issue Date: Jan-2007
Citation: Zhang, C.W., Ong, H.L. (2007-01). An efficient solution to biobjective generalized assignment problem. Advances in Engineering Software 38 (1) : 50-58. ScholarBank@NUS Repository. https://doi.org/10.1016/j.advengsoft.2006.06.003
Abstract: The generalized assignment problem (GAP) has found applications in many real world problems. In this paper, we examine the GAP from a multiobjective point of view to accommodate some real world situations where more than one objective is involved. An efficient LP-based heuristic is proposed to solve the biobjective generalized assignment problem (BiGAP). Extensive computational experiments are carried out to evaluate the performance of the proposed method. The results show that the proposed approach is able to generate good approximations to the nondominated frontier of the BiGAP efficiently, especially when the ratio of the number of items to the number of knapsacks is large. © 2006 Elsevier Ltd. All rights reserved.
Source Title: Advances in Engineering Software
URI: http://scholarbank.nus.edu.sg/handle/10635/63001
ISSN: 09659978
DOI: 10.1016/j.advengsoft.2006.06.003
Appears in Collections:Staff Publications

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