An Adaptive Group Theoretic Algorithm for Integer Programming Problems
G. Anthony Gorry and
Jeremy F. Shapiro
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G. Anthony Gorry: Massachusetts Institute of Technology
Jeremy F. Shapiro: Massachusetts Institute of Technology
Management Science, 1971, vol. 17, issue 5, 285-306
Abstract:
Group theory is used to integrate a wide variety of integer programming methods into a common computational process. Included are group optimization algorithms, Lagrangian methods, the cutting plane method, and the method of surrogate constraints. These methods are controlled by a supervisor which performs four main functions: set-up, directed search, subproblem analysis, and prognosis. Some computational experience is given. One appendix contains an algorithm for dynamically solving unconstrained group problems. A second appendix gives an algorithm for solving zero-one group problems.
Date: 1971
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:17:y:1971:i:5:p:285-306
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