Interval-parameter optimization problems on graphs

  • Authors:
  • V. A. Perepelitsa;I. V. Kozin;And N. Maksishkoa

  • Affiliations:
  • Zaporozhye National University, Zaporozhye, Ukraine;Zaporozhye National University, Zaporozhye, Ukraine;Zaporozhye National University, Zaporozhye, Ukraine

  • Venue:
  • Cybernetics and Systems Analysis
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Well-known optimization problems on graphs are considered under uncertainty when parameter domains are specified in the form of intervals. Exponential estimates of computational complexity of problems being studied and also problems that are polynomial in the classical formulation are substantiated. Polynomially solvable subclasses are found, and sufficient conditions of statistical efficiency of a proposed approximate algorithm are constructively substantiated.