In this paper, a new method based on genetic-fuzzy algorithm for multi-objective optimization is proposed. This method is successfully applied to several multi-objective optimization problems. Two examples are presented: the first example is the optimization of two nonlinear mathematical functions and the second one is the design of PI controller for control of an induction motor drive supplie...

Abstract— An educational platform is presented here for the beginner students in the Simulation and Artificial Intelligence sciences. It provides with a start point of building and simulation of the manipulators, especially of 2R planar Robot. It also displays a method to replace the inverse kinematic model (IKM) of the Robot with a simpler one, by using a Multi-Layer Perceptron Neural Network ...

Theoretical modeling is a natural partner of cell and molecular biology. This synergy was illustrated during the Minisymposium on Modeling and Simulation of Cellular Functions, which presented a variety of theoretical approaches to cell biology problems. The topics discussed spanned various biological scales, from the organization of intracellular components to cell shape mechanics and gene exp...

in this paper, we consider a new class of analytic functions in the unit disk using polynomials of order alpha. we give some sufficient conditions for functions belonging to this class.

This paper presents a novel approach for developing simulation metamodels using Gaussian radial basis functions. This approach is based on some recently developed mathematical results for radial basis functions. It is systematic, explicitly controls the underfitting and overfitting tradeoff, and uses a fast computational algorithm that requires minimal human involvement. This approach is illust...

We study a Monte Carlo algorithm for simulation of probability distributions based on stochastic step functions, and compare to the traditional Metropolis/Hastings method. Unlike the latter, the step function algorithm can produce an uncorrelated Markov chain. We apply this method to the simulation of Levy processes, for which simulation of uncorrelated jumps are essential. We perform numerical...

We present a new approach to speeding up VHDL simulation. In this approach, the simulation code is generated with routines for unused VHDL features stripped oo. The VHDL simulator optimized in this way runs faster when the design is described mostly with simple constructs and expressions. We prepare multiple functions for each task in the simulation process. Each function is pre-optimized for e...

Background: The purpose of this project was to derive the brachytherapy dosimetric functions described by American Association of Physicists in Medicine (AAPM) TG-43 U1 based on high dose rate 192I sources. Materials and Methods: The method utilized included both simulation of the designed Polymethyl methacrylate (PMMA) phantom using the Monte Carlo of MCNP4C and benchmarking of the simulation ...

Robotic hands are still a long way from matching the grasping and manipulation capability of their human counterparts. One way to push the research further along is to use computer modeling and simulation to learn more about human and robotic grasping. We have created a publicly available simulator to serve this purpose. It can accommodate a wide variety of hand designs, and it can evaluate gra...