Background: Irreversible electroporation (IRE) is a novel tumor ablation technique. IRE is associated with high electrical fields and is often reported in conjunction with thermal damage caused by Joule heating. For good response to surgery it is crucial to produce minimum thermal damage in both tumoral and healthy tissues named Non-Thermal Irreversible Electroporation(NTIRE). Non-thermal irrev...

The aim of this paper is computing of the optimum duty cycle and inductance using Genetic Algorithm to minimize tracking error and operating costs by means of a new current reference. Such a current reference is able to share the responsibilities in power quality deterioration between supply and customer, making the filter to deliver a current with a lower harmonic content, which means a lower ...

One of reasons that researchers in recent years have tried to produce ultrafine grained materials is producing lightweight components with high strength and reliability. There are disparate methods for production of ultra-fine grain materials,one of which is severe plastic deformation method. Severe plastic deformation method comprises different processes, one of which is Parallel tubular chann...

The main theme of this paper is to present novel controller, which is a genetic based fuzzy Logic controller, for interior permanent magnet synchronous motor drives with direct torque control. A radial basis function network has been used for online tuning of the genetic based fuzzy logic controller. Initially different operating conditions are obtained based on motor dynamics incorporating...

Portfolio is an investment management concept different from individual asset management. This consideration leads to interesting result, that is, investors should buy a variety of securities at the same time instead one kind for diversified investment. Aiming limitations BPNN (BP neural network) in traditional artificial network and its shortcomings such as many iterations, low convergence acc...

Almost all heuristic optimization procedures require the presence of a well-tuned set of parameters. The tuning of these parameters is usually a critical issue and may entail intensive computational requirements. We propose a fast and effective approach composed of two distinct stages. In the first stage, a genetic algorithm is applied to a small subset of representative problems to determine a...