An intelligent algorithm for mixed-integer programming models

Youling Lin; Larry M. Austin; James R. Burns

doi:10.1016/0305-0548(92)90001-L

An intelligent algorithm for mixed-integer programming models

Youling Lin, Larry M. Austin, James R. Burns

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2 Scopus citations

Abstract

We present an intelligent branch-and-bound algorithm and report preliminary computational results. The conventional approach to use of a particular branching strategy throughout is replaced by a branching algorithm that uses a neural network to direct the branching. The technique is shown to be significantly faster than conventional methods for certain classes of mixed integer linear programming (MILP) models.

Original language	English
Pages (from-to)	461-468
Number of pages	8
Journal	Computers and Operations Research
Volume	19
Issue number	6
DOIs	https://doi.org/10.1016/0305-0548(92)90001-L
State	Published - Aug 1992

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Lin, Y., Austin, L. M., & Burns, J. R. (1992). An intelligent algorithm for mixed-integer programming models. Computers and Operations Research, 19(6), 461-468. https://doi.org/10.1016/0305-0548(92)90001-L

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abstract = "We present an intelligent branch-and-bound algorithm and report preliminary computational results. The conventional approach to use of a particular branching strategy throughout is replaced by a branching algorithm that uses a neural network to direct the branching. The technique is shown to be significantly faster than conventional methods for certain classes of mixed integer linear programming (MILP) models.",

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