An Interactive Artificial Cutting Plane Method for Bicriterion Integer Programming Problems

Abstract

This thesis develops an interactive solution method for bicriterion integer mathematical programming problems, called the Artificial Cutting Plane (ACP) method. This method consists of four major steps: (1) Determine initial boundaries and the initial incumbent solution; (2) Locate an associated frontier nondominated solution (AFNs) to the incumbent solution. If there is no AFNS in the remaining feasible area, the current incumbent solution is the best compromises solution and the algorithm terminates; (3) Present the decision maker (DM) the incumbent solution and its AFNS, and update the boundaries based on which solution is preferred; and (4) Let the preferred solution be the new incumbent, and return to step 2. The ACP method was tested and compared to Aksoy's Interactive Branch and Bound method on the basis of four evaluation criteria. Both methods were applied to randomly generated solutions based on five different shapes of efficient frontiers. Four different utility functions, with three variations each, were used to simulate the responses of a DM. The ACP method generated very competitive results against Aksoy's method.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1992
Accession Number
ADA254311

Entities

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  • Diane B. Allen

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  • Air Force Institute of Technology

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  • Energy and Power Technologies
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  • Algorithms
  • Computations
  • Computer Programming
  • Computer Programs
  • Computers
  • Convex Sets
  • Data Sets
  • Decision Theory
  • Integer Programming
  • Linear Programming
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  • Mathematical Programming
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  • Nonlinear Programming
  • Operations Research
  • Optimization
  • Theorems

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