Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation ...

Abstract: In this article, the electrical parameters of the Gate Stack Double Gate (GSDG) MOSFET are optimized utilizing the Simplex-Particle Swarm Optimization (Simplex-PSO) algorithm. The electrical ...

This repository provides a Python-based framework for computing approximations of gradients, Hessians, and experimental third-order derivatives, with additional MATLAB implementations. The main ...