Title of article :
A unified method for a class of convex separable nonlinear knapsack problems
Author/Authors :
Bin Zhang، نويسنده , , Zhongsheng Hua، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Abstract :
In this paper, a unified algorithm is proposed for solving a class of convex separable nonlinear knapsack problems, which are characterized by positive marginal cost (PMC) and increasing marginal loss–cost ratio (IMLCR). By taking advantage of these two characteristics, the proposed algorithm is applicable to the problem with equality or inequality constraints. In contrast to the methods based on Karush–Kuhn–Tucker (KKT) conditions, our approach has linear computation complexity. Numerical results are reported to demonstrate the efficacy of the proposed algorithm for different problems.
Keywords :
Nonlinear knapsack problem , Separable programming , Singly constrained program , Convex programming
Journal title :
European Journal of Operational Research
Journal title :
European Journal of Operational Research