We perform an in-depth comparison of quantum annealing with several classical optimisation techniques, namely thermal annealing, Nelder-Mead, and gradient descent. begin a direct study the 2D Ising model on annealer, compare its properties directly those model. These include Ising-like phase transition that can be induced by either change in 'quantum-ness' theory, or scaling couplings up down. ...

This paper proposed a modified evolutionary technique formed by the hybridization of bee colony and Nelder–Mead Simplex search to optimize coefficients Quadrature Mirror Filter (QMF). The performance QMF can be evaluated in terms error pass-band, stop-band measure ripple. A objective function is designed this work, expressed as weighted sum errors minimized using technique. results obtained fro...

We propose a pioneering approach that integrates optimization algorithms and technology computer-aided design to automatically optimize laterally-diffused metal-oxide-semiconductors (LDMOS) with field-oxide structure. define the ratio of square breakdown voltage divided by specific on-resistance as figure-of-merit (FOM) objective function our optimization. compare performance three different al...

The Otsu s method has been proven as an efficient method in image segmentation for bi-level thresholding. However, this method is computationally intensive when extended to multi-level thresholding. In this paper, we present a hybrid optimization scheme for multiple thresholding by the criteria of (1) Otsu s minimum within-group variance and (2) Gaussian function fitting. Four example images ar...

Abstract We develop a matrix form of the Nelder-Mead simplex method and show that its convergence is related to infinite products. then characterize spectra involved matrices necessary for study convergence. Using these results, we discuss several examples possible or failure modes. Then, prove general theorem sequences generated by method. The key assumption proved in low-dimensional spaces up...