Comparative Analysis Of Smooth Penalty Function Algorithms In Nonlinear Inequality Constrained Optimization
Year: 2024
Type: article
Abstract: :- In this paper the comparative analysis of the four algorithms elucidates distinct convergence behaviours and performance attributes is provided. Algorithms I and II demonstrates an accelerated convergence rate, rendering them advantageous in scenarios prioritizing expeditious optimization. Algorithm III, while exhibiting prompt stabilization, may not attain the minimal objective function value. Algorithm IV, offering a compromise between convergence speed and the final objective function value, is a viable option when a balanced approach is deemed acceptable. Keywords :- Smooth Penalty Function, Second Order Smooth Penalty Function, Algorithms, Objective Function, Optimality Conditions
Author: Dr. Simran Thapar
Institution: University of Delhi
Language: English
Subfield: Numerical Analysis
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4410051502