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

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

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 ...

mod, run and dat files. Perform Benders algorithm using Master and Subproblem. In each cut we add a new constriction to reduce the dimension of master's problem. In folder dantzig the dantzig cutting ...

Coursework, models, notes, and solutions from COMP4041: Linear and Discrete Optimization at the University of Nottingham. Topics include linear and integer programming, simplex and branch-and-bound ...

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 ...