Comparison Branch and Bound Algorithm with Trust Region Method for Solving Non-linear Bi-level Programming with Application

Authors

  • Hebaa Fadheel Al –Sudanei
  • Hamed Saad Noor AL-Shamraty

DOI:

https://doi.org/10.55562/jrucs.v48i1.33

Keywords:

Non-linear Bi-level programming, Trust Region Method, Branch and Bound

Abstract

The problem of Bi -level programming is to reduce or maximize the function of the target by having another target function within the constraints. This problem has received a great deal of attention in the programming community due to the proliferation of applications and the use of evolutionary algorithms in addressing this kind of problems. Two non-linear bi-level programming methods are used in this paper. The goal is to achieve the optimal solution through the simulation method using Monte Carlo method using different small and large sample sizes. We concluded that Branch Bound algorithm was preferred in solving the problem of non-linear two-level programming this is because the results were better.

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Published

2021-09-23

How to Cite

Comparison Branch and Bound Algorithm with Trust Region Method for Solving Non-linear Bi-level Programming with Application. (2021). Journal of Al-Rafidain University College For Sciences ( Print ISSN: 1681-6870 ,Online ISSN: 2790-2293 ), 48(1), 1-14. https://doi.org/10.55562/jrucs.v48i1.33