Some tractable instances of interval data minmax regret problems

نویسندگان

  • Bruno Escoffier
  • Jérôme Monnot
  • Olivier Spanjaard
چکیده

In this paper, we provide polynomial and pseudopolynomial algorithms for classes of particular instances of interval data minmax regret graph problems. These classes are defined using a parameter that measures the distance from well known solvable instances. Tractable cases occur when the parameter is bounded by a constant.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Some tractable instances of interval data minmax regret problems: bounded distance from triviality (short version)

This paper focuses on tractable instances of interval data minmax regret graph problems. More precisely, we provide polynomial and pseudopolynomial algorithms for sets of particular instances of the interval data minmax regret versions of the shortest path, minimum spanning tree and weighted (bipartite) perfect matching problems. These sets are defined using a parameter that measures the distan...

متن کامل

Some Tractable Instances of Interval Data Minmax Regret Problems: Bounded Distance from Triviality

This paper focuses on tractable instances of interval data minmax regret graph problems. More precisely, we provide polynomial and pseudopolynomial algorithms for sets of particular instances of the interval data minmax regret versions of the shortest path, minimum spanning tree and weighted (bipartite) perfect matching problems. These sets are defined using a parameter that measures the distan...

متن کامل

A Probabilistic Model for Minmax Regret in Combinatorial Optimization

In this paper, we propose a probabilistic model for minimizing the anticipated regret in combinatorial optimization problems with distributional uncertainty in the objective coefficients. The interval uncertainty representation of data is supplemented with information on the marginal distributions. As a decision criterion, we minimize the worst-case conditional value-at-risk of regret. The prop...

متن کامل

A 2-approximation algorithm for interval data minmax regret sequencing problems with the total flow time criterion

In this paper we discuss a minmax regret version of the single machine scheduling problem with the total flow time criterion. Uncertain processing times are modeled by closed intervals. We show that if the deterministic problem is polynomially solvable, then its minmax regret version is approximable within 2.

متن کامل

A tabu search algorithm for the minmax regret minimum spanning tree problem with interval data

This paper deals with the strongly NP-hard minmax regret version of the minimum spanning tree problem with interval costs. The best known exact algorithms solve the problem in reasonable time for rather small graphs. In this paper an algorithm based on the idea of tabu search is constructed. Some properties of the local minima are shown. Exhaustive computational tests for various classes of gra...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Oper. Res. Lett.

دوره 36  شماره 

صفحات  -

تاریخ انتشار 2008