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  • 标题:A Class of Continuous Separable Nonlinear Multidimensional Knapsack Problems
  • 本地全文:下载
  • 作者:Bin Zhang ; Zhe Lin ; Yu Wang
  • 期刊名称:American Journal of Operations Research
  • 印刷版ISSN:2160-8830
  • 电子版ISSN:2160-8849
  • 出版年度:2018
  • 卷号:8
  • 期号:4
  • 页码:266-280
  • DOI:10.4236/ajor.2018.84015
  • 语种:English
  • 出版社:Scientific Research Pub
  • 摘要:The nonlinear multidimensional knapsack problem is defined as the minimization of a convex function with multiple linear constraints. The methods developed for nonlinear multidimensional programming problems are often applied to solve the nonlinear multidimensional knapsack problems, but they are inefficient or limited since most of them do not exploit the characteristics of the knapsack problems. In this paper, by establishing structural properties of the continuous separable nonlinear multidimensional knapsack problem, we develop a multi-tier binary solution method for solving the continuous nonlinear multidimensional knapsack problems with general structure. The computational complexity is polynomial in the number of variables. We presented two examples to illustrate the general application of our method and we used statistical results to show the effectiveness of our method.
  • 关键词:Nonlinear ProgrammingConvex ProgrammingMultidimensional KnapsackSeparable KnapsackLagrangian Relaxation
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