Convex Programming and the Lexicographic Multicriteria Problem.

Abstract

Lexicographic multicriteria problems are treated by solving successively appropriate mathematical programming problems. These mathematical programs typically lack constraint qualification. Accordingly, the classical Kuhn-Tucker optimality conditions and algorithms based on them are not applicable in this situation. However a recently developed theory of convex programming without a constraint qualification is applicable and it is used here to derive necessary and sufficient optimality conditions for convex lexicographic problems. Also a computational procedure is described.

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1975
Accession Number
ADA015611

Entities

People

  • A. Ben-tal
  • S. Zlovec

Organizations

  • University of Texas at Austin

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Computer Programming
  • Convex Programming
  • Evolutionary Algorithms
  • Heuristic Methods
  • Interdisciplinary Science
  • Mathematical Programming
  • Mathematics
  • Qualifications

Readers

  • Operations Research