2025/12/17
Isa Nakhai Kamalabadi

Isa Nakhai Kamalabadi

Academic rank: Professor
ORCID:
Education: PhD.
H-Index:
Faculty: Faculty of Engineering
ScholarId:
E-mail: nakhai.isa [at] gmail.com
ScopusId: View
Phone: 0988733666807
ResearchGate:

Research

Title
Solving Linear Tri-level Programming Problem using Approaches Based on Line Search and an Approximate Algorithm
Type
JournalPaper
Keywords
Linear bi-level programming problem, Linear tri-level programming problem, Karush-Kuhn-Tucker conditions, Taylor theorem, Line search method.
Year
2014
Journal Research Journal of Management Sciences
DOI
Researchers Eqbal Hosseini ، Isa Nakhai Kamalabadi

Abstract

In the recent years, the bi-level and tri-level programming problems (TLPP) are interested by many researchers and TLPP is known as an appropriate tool to solve the real problems in several areas such as economic, traffic, finance, management, and so on. Also, it has been proven that the general TLPP is an NP-hard problem. The literature shows a few attempts for solving using TLPP. In this paper, we attempt to develop two effective approaches, one based on Taylor theorem and the other based on the hybrid algorithm by combining the penalty function and the line search algorithm for solving the linear TLPP. In these approaches, by using Karush-Kuhn-Tucker conditions, TLP Pischanged to non-smooth single problem, and then it is smoothed by proposed functions. Finally, the smoothed problem is solved using both of the proposed approaches. The presented approaches achieve an efficient and feasible solution in an appropriate time which has been evaluated by comparing to references and test problems.