An improved linearization technique for a class of quadratic 0-1 programming problems

The recent research on linearization techniques for solving 0-1 quadratic programming problems focuses on providing concise models and tightening constraint bounds. In this paper, we propose a computational enhancement for a linearization technique to make the linearized model much faster to solve....

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Vydané v:Optimization letters Ročník 6; číslo 1; s. 31 - 41
Hlavní autori: He, Xiaozheng, Chen, Anthony, Chaovalitwongse, Wanpracha A., Liu, Henry X.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer-Verlag 01.01.2012
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ISSN:1862-4472, 1862-4480
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Abstract The recent research on linearization techniques for solving 0-1 quadratic programming problems focuses on providing concise models and tightening constraint bounds. In this paper, we propose a computational enhancement for a linearization technique to make the linearized model much faster to solve. We investigate the computational performance of the proposed approach, by comparing it with other linearization techniques on a class of 0-1 quadratic programming problems. We can further speed up the proposed technique by heuristically tightening the constraint bounds, as demonstrated by solving the uncapacitated single allocation p -hub median problem using the Civil Aeronautics Board data.
AbstractList The recent research on linearization techniques for solving 0-1 quadratic programming problems focuses on providing concise models and tightening constraint bounds. In this paper, we propose a computational enhancement for a linearization technique to make the linearized model much faster to solve. We investigate the computational performance of the proposed approach, by comparing it with other linearization techniques on a class of 0-1 quadratic programming problems. We can further speed up the proposed technique by heuristically tightening the constraint bounds, as demonstrated by solving the uncapacitated single allocation p -hub median problem using the Civil Aeronautics Board data.
Author Liu, Henry X.
Chen, Anthony
Chaovalitwongse, Wanpracha A.
He, Xiaozheng
Author_xml – sequence: 1
  givenname: Xiaozheng
  surname: He
  fullname: He, Xiaozheng
  organization: Department of Civil Engineering, University of Minnesota
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  surname: Chen
  fullname: Chen, Anthony
  organization: Department of Civil Engineering, Utah State University
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  givenname: Wanpracha A.
  surname: Chaovalitwongse
  fullname: Chaovalitwongse, Wanpracha A.
  email: wchaoval@rci.rutgers.edu
  organization: Department of Industrial and Systems Engineering, Rutgers University
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  givenname: Henry X.
  surname: Liu
  fullname: Liu, Henry X.
  organization: Department of Civil Engineering, University of Minnesota
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Keywords Linearization technique
Binary quadratic programming problem
Hub location problem
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Mathematics
Mathematics and Statistics
Numerical and Computational Physics
Operations Research/Decision Theory
Optimization
Original Paper
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Title An improved linearization technique for a class of quadratic 0-1 programming problems
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