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: Aiming at the problem that the particle swarm optimization is difficult to deal with local convergence and premature problem, a hybrid computational algorithm based on an improved simplex ...

Abstract: In this paper, we apply robust optimizers (i. e. the simplex method and the genetic algorithm) to rectangular ridged waveguide filter design. We extend the use of the simplex method to the ...

This is a preview. Log in through your library . Abstract Most examples of cycling in the simplex method are given without explanation of how they were constructed. An exception is Beale's example ...

Optimizing faculty workload in higher education institutions is essential for enhancing faculty satisfaction, student learning, and institutional productivity. Traditional workload management ...

Your Artstor image groups were copied to Workspace. The Artstor website will be retired on Aug 1st. Science Progress (1933-) Vol. 103, No. 4, 2020 A new method for ...