NEW ALGORITHMS AND CUTTING PLANE CONSTRAINTS FOR THE SOLUTION OF DIOPHANTINE LINEAR PROGRAMS.

Abstract

This thesis presents two computational algorithms for solving the integer linear programming problem and a class of cutting plane constraints that may be employed as part of an algorithmic solution strategy. The first algorithm, called the 'bound escalation method,' is close related to the all-integer algorithm of Ralph Gomory. The principal point of contrast lies in the concept of the bounding form, which the method is designed specifically to create and then exploit. The second algorithm, called the 'multiphase-dual method,' a more specialized method designed to solve the 0-1 linear programming problem. This method, which is combinatorial in nature, patterns after the additive algorithm of Egon Balas, and employs an array of tests applied in conjunction with a 'surrogate constraint' to eliminate large portions of the solution space from consideration. The cutting plane constraints, finally, are generated from a general equation in two parameters. Theorems are proved which specify values for these parameters that yield cuts having certain properties not found in the other cuts in the literature. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1965
Accession Number
AD0618690

Entities

People

  • Fred Glover

Organizations

  • Carnegie Institute of Technology

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  • Additives (Chemicals)
  • Algorithms
  • Applied Mathematics
  • Computer Programming
  • Contrast
  • Equations
  • Evolutionary Algorithms
  • Heuristic Methods
  • Integer Programming
  • Interdisciplinary Science
  • Linear Programming
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  • Mathematics
  • Operations Research

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