Inflection point-based auxiliary function algorithm for finding global minima of coercive functions
From MaRDI portal
Publication:6572438
DOI10.1016/j.cam.2024.115955MaRDI QIDQ6572438
Publication date: 15 July 2024
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- An integral function and vector sequence method for unconstrained global optimization
- A filled function method for global optimization with inequality constraints
- A parameter free filled function for unconstrained global optimization
- A new discrete filled function algorithm for discrete global optimization
- A filled function method for finding a global minimizer of a function of several variables
- New filled functions for nonsmooth global optimization
- Novel global optimization algorithm with a space-filling curve and integral function
- A filled function which has the same local minimizer of the objective function
- A filled function method for global optimization
- A new global optimization technique by auxiliary function method in a directional search
- Discrete filled function method for discrete global optimization
- Global optimization issues in deep network regression: an overview
- Non parameter-filled function for global optimization
- Finding global minima with an inflection point-based filled function algorithm
- A new parameter free filled function for solving unconstrained global optimization problems
- A new filled function for global minimization and system of nonlinear equations
- A parameter-free filled function for unconstrained global optimization
- Nonlinear Programming
- A new filled function method for unconstrained global optimization
- A new filled function method for unconstrained global optimization
- Finding global minima with a computable filled function.
- A novel convergent filled function algorithm for multi-dimensional global optimization
This page was built for publication: Inflection point-based auxiliary function algorithm for finding global minima of coercive functions