Set Covering by Ordinal Cuts II: Partial Preference Functions.

Abstract

The paper explores the set covering problem when the objective function is specified as an incomplete preference function. Use of real valued objective functions imposes a complete order on the solutions and therefore introduces nonexistent information when used as a surrogate for the incomplete preference function. It is shown that starting with a preference ranking of the variables and assuming additivity of preferences, one can infer a vector partial ordering representing the resulting preference relationships. The set covering problem can then be formulated as trying to find the set of undominated solutions in the sense that the elements of the set are incomparable under the preference function and each is preferred to any solution with which it is ordered. It is shown that one can easily generate elements of this set by making ordinal cuts on the partial order. The algorithm involves both enumeration and cutting planes but applied to vector orderings rather than conventional linear programs. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1973
Accession Number
AD0769126

Entities

People

  • James H. Starr
  • V. Joseph Bowman

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Coverings
  • Evolutionary Algorithms
  • Heuristic Methods
  • Linear Programming
  • Mathematics
  • Simplex Method

Readers

  • Operations Research
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms