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University of Illinois at Urbana-Champaign

Some Computational Aspects of the Branch and Bound Method for Integer Programs

Abstract

dc:description

Different heuristics for the branch and bound method are tested on capital budgeting type integer programming problems. The standard up and down penalties are compared with Tomlin's improved penalties. The use of the 'priority order' derived from the objective coefficients is also examined. A new heuristic--"the nearer integer rule"--is introduced that reduces the time taken to find the optimal solution.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Business Administration
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Samanta, Chanchal

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Identifier
(UMI)AAI8209625
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/70438

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Samanta, Chanchal. Some Computational Aspects of the Branch and Bound Method for Integer Programs. Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/70438