Work

Particle swarm optimization method for parameter selecting in Tikhonov regularization method for solving inverse problems

Year: 2024

Type: article

Abstract: We use the Tikhonov method as a regularization technique for solving the inverse problem liner operator equation of the first kind with noisy and noise-free data. We also provide the Tikhonov method's essential analysis for tackling inverse problems. Following that, we go over how to choose the Tikhonov regularization parameter by implementing the Particle Swarm Optimization (PSO) technique. The effectiveness of combining these two approaches particle swarm optimization and Tikhonov is demonstrated to be highly practicable.

Source: e-Prime - Advances in Electrical Engineering Electronics and Energy

DOI: 10.1016/j.prime.2024.100750

Authors: H.K. Al-Mahdawi, A.S. Alhumaima

Institution: University of Diyala

Language: English

Topic: Numerical methods in inverse problems

Subfield: Mathematical Physics

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,400

OpenAlex ID: W4402297944

FWCI: 2.612

Cites: 36

Cited by: 4

Related to: 10