An efficient hybrid algorithm based on genetic algorithm (GA) and Nelder–Mead (NM) for solving nonlinear inverse parabolic problems
In this paper a hybrid algorithm based on genetic algorithm (GA) and Nelder–Mead (NM) simplex search method is combined with least squares method for the determination of temperature in some nonlinear inverse parabolic problems (NIPP). The performance of hybrid algorithm is established with some exa...
Main Authors: | H. Dana Mazraeh, R. Pourgholi |
---|---|
Format: | Article |
Language: | English |
Published: |
Ferdowsi University of Mashhad
2018-10-01
|
Series: | Iranian Journal of Numerical Analysis and Optimization |
Subjects: | |
Online Access: | https://ijnao.um.ac.ir/article_24732_1f78a1df4293303f8ed496c2f03b8c85.pdf |
Similar Items
-
The Nelder–Mead Simplex Algorithm Is Sixty Years Old: New Convergence Results and Open Questions
by: Aurél Galántai
Published: (2024-11-01) -
A Stochastic Convergence Result for the Nelder–Mead Simplex Method
by: Aurél Galántai
Published: (2023-04-01) -
Genetic Nelder-Mead neural network algorithm for fault parameter inversion using GPS data
by: Leyang Wang, et al.
Published: (2022-06-01) -
Constrained Eigenvalue Minimization of Incomplete Pairwise Comparison Matrices by Nelder-Mead Algorithm
by: Hailemariam Abebe Tekile, et al.
Published: (2021-07-01) -
Improving diversification by a hybrid bat-Nelder-Mead algorithm and DDE for rapid convergence to solve global optimization
by: Enas Suhail, et al.
Published: (2024-12-01)