Complexity of necessary efficiency in interval linear programming and multiobjective linear programming

We present some complexity results on checking necessary efficiency in interval multiobjective linear programming. Supposing that objective function coefficients perturb within prescribed intervals, a feasible point x * is called necessarily efficient if it is efficient for all instances of interval...

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Vydané v:Optimization letters Ročník 6; číslo 5; s. 893 - 899
Hlavný autor: Hladík, Milan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer-Verlag 01.06.2012
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ISSN:1862-4472, 1862-4480
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Abstract We present some complexity results on checking necessary efficiency in interval multiobjective linear programming. Supposing that objective function coefficients perturb within prescribed intervals, a feasible point x * is called necessarily efficient if it is efficient for all instances of interval data. We show that the problem of checking necessary efficiency is co-NP-complete even for the case of only one objective. Provided that x * is a non-degenerate basic solution, the problem is polynomially solvable for one objective, but remains co-NP-hard in the general case. Some open problems are mentioned at the end of the paper.
AbstractList We present some complexity results on checking necessary efficiency in interval multiobjective linear programming. Supposing that objective function coefficients perturb within prescribed intervals, a feasible point x * is called necessarily efficient if it is efficient for all instances of interval data. We show that the problem of checking necessary efficiency is co-NP-complete even for the case of only one objective. Provided that x * is a non-degenerate basic solution, the problem is polynomially solvable for one objective, but remains co-NP-hard in the general case. Some open problems are mentioned at the end of the paper.
Author Hladík, Milan
Author_xml – sequence: 1
  givenname: Milan
  surname: Hladík
  fullname: Hladík, Milan
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  organization: Department of Applied Mathematics, Faculty of Mathematics and Physics, Charles University
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Multiobjective linear programming
Efficient solution
NP-completeness
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Snippet We present some complexity results on checking necessary efficiency in interval multiobjective linear programming. Supposing that objective function...
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SubjectTerms Computational Intelligence
Mathematics
Mathematics and Statistics
Numerical and Computational Physics
Operations Research/Decision Theory
Optimization
Original Paper
Simulation
Title Complexity of necessary efficiency in interval linear programming and multiobjective linear programming
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