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Virginia Polytechnic Institute and State University

The mixed-integer bilinear programming problem with extensions to zero-one quadratic programs

Abstract

dc:description.abstract

This research effort is concerned with a class of mathematical programming problems referred to as Mixed-Integer Bilinear Programming Problems. This class of problems, which arises in production, location-allocation, and distribution-application contexts, may be considered as a discrete version of the well-known Bilinear Programming Problem in that one set of decision variables is restricted to be binary valued. The structure of this problem is studied, and special cases wherein it is readily solvable are identified. For the more general case, a new linearization technique is introduced and demonstrated to lead to a tighter linear programming relaxation than obtained through available linearization methods. Based on this linearization, a composite Lagrangian relaxation-implicit enumeration-cutting plane algorithm is developed. Extensive computational experience is provided to test the efficiency of various algorithmic strategies and the effects of problem data on the computational effort of the proposed algorithm. The solution strategy developed for the Mixed-Integer Bilinear Programming Problem may be applied, with suitable modifications,. to other classes of mathematical programming problems: in particular, to the Zero-One Quadratic Programming Problem. In what may be considered as an extension to the work performed on the Mixed-Integer Bilinear Programming Problem, a solution strategy based on an equivalent linear reformulation is developed for the Zero-One Quadratic Programming Problem. The strategy is essentially an implicit enumeration algorithm which employs Lagrangian relaxation, Benders' cutting planes, and local explorations. Computational experience for this problem class is provided to justify the worth of the proposed linear reformulation and algorithm.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Industrial Engineering and Operations Research
Department dc:contributor.department
Industrial Engineering and Operations Research
Grantor dc:publisher
Virginia Polytechnic Institute and State University
Year dc:date.issued
1985

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Adams, Warren Philip
Chair dc:contributor.committeechair
  • Sherali, Hanif
Committee members dc:contributor.committeemember
  • Frair, Lester C.
  • Ghandforoush, F.
  • Moore, L.J.
  • Nachlas, Joel A.

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10919/74711
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/74711

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Adams, Warren Philip. The mixed-integer bilinear programming problem with extensions to zero-one quadratic programs. doctoral thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/74711