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Arsalan Rahmani

Arsalan Rahmani

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId: 55881268200
Faculty: Faculty of Science
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Research

Title
An improved multi-parametric method for solving MIBLPP
Type
JournalPaper
Keywords
Mixed Integer Bi-level Programming, Multi-Parametric Programming, Reformulation Linearization Technique, Bisection Procedure
Year
2018
Journal JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES
DOI
Researchers Arsalan Rahmani ، seyed ali mirhassani

Abstract

In this paper, the problem of solving mixed integer bi-level programming problems is discussed. The proposed algorithm is based on the multi-parametric algorithm that using bisection cutting plane techniques to improve bounds. In fact the paper examines the nature of the so-called separation problem, which is generating a valid inequality arising as the solution to the current sub problem of the multi-parametric algorithm. Some examples are provided to demonstrate the algorithm and evaluate its performance.