A branch and search algorithm for a class of nonlinear knapsack problems

Kamlesh Mathur*, Harvey M. Salkin, Susumu Morito

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

42 Citations (Scopus)

Abstract

This paper discusses a class of nonlinear knapsack problems where the objective function is quadratic. The method is a branch and search procedure which includes an efficient algorithm to find the continuous (relaxed) solution and a reduction rule which computes tight lower and upper bounds on the integer variables.

Original languageEnglish
Pages (from-to)155-160
Number of pages6
JournalOperations Research Letters
Volume2
Issue number4
DOIs
Publication statusPublished - 1983
Externally publishedYes

Keywords

  • capital budgeting
  • integer programming
  • Nonlinear knapsack problem

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty
  • Discrete Mathematics and Combinatorics
  • Modelling and Simulation

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