Optimization modeling and simulation of the autothermal reactor in the methanol production process was effectively done using the quasi –Newton scheme of optimization in Aspen Hysys 2006.5. The primary variables selected for this modeling were heat flow value of the following: Steam1;steam2; coolant1; coolant2; coolant3. After running the process optimization simulation, total cost was minimize...

Our work has been focused on developing a methodology for process control of bulk deformation—specifically, extrusion. A process model is required for control. We state the difficulties which exist with currently available models. An appropriate decomposition and associated assumptions are introduced which permit a real-time process model to be constructed via spectral approximation to solve th...

The paper describes web-based online materials for a course in power object working modes modeling and optimization. The course covers topics like power systems and models, system identification, modeling and optimization, with fuzzy sets theory methods using. An essential part of the material is interactive demos that are implemented with Matlab, Simulink and Matlab Web Server. Copyright 2005 ...

in this study, hydrus2d/3d software was used to estimate the hydraulic parameters of van genuchten-mualem model via inverse modeling using double-ring infiltrometers data in 3 different soil textures. nine scenarios of inverse modeling (divided in three groups) were considered with different number (5, 4 and 3) of fitted hydraulic parameters for optimization. in the first group, simulation was ...

Panagiotis Vogiatzis Computational Modeling, Analysis and Design Optimization Research Laboratory Department of Mechanical Engineering State University of New York at Stony Brook Stony Brook, NY, 11794 Email: [email protected] Shikui Chen Computational Modeling, Analysis and Design Optimization Research Laboratory Department of Mechanical Engineering State University of New Yo...

Modeling and multi-objective optimization of centrifugal pumps is performed at three steps. At the first step, η and NPSHr in a set of centrifugal pump are numerically investigated using commercial software NUMECA. Two metamodels based on the evolved group method of data handling (GMDH) type neural networks are obtained, at the second step, for modeling of η and NPSHr with respect to geometrica...

A new application programming interface for evaluating functions and specifying optimization problems at runtime has been developed. The new interface, named FEFAR, uses a simple language named LEFAR. Compared with other modeling languages such as AMPL or OSil, LEFAR is Fortranlike hence easy to learn and use, in particular for Fortran programmers. FEFAR itself is a Fortran subroutine hence eas...

Existing malware propagation models mainly concentrate on malware epidemic consequences modeling, i.e. forecasting the number of infected computers, and are based only on current malware propagation strategies. In this article we propose a genetic algorithm based model, which aims at evaluating existing as well as modeling other potentially dangerous Internet worms’ propagation strategies. The ...

This article discusses a rule-based fuzzy model for the identiication of nonlinear MISO (multiple input, single output) systems. The diss cussed method of fuzzy modeling consists of two parts: structure modeling, i.e. determing the numm ber of rules and input variables involved respecc tively, and parameter optimization, i.e. optimizing the location and form of the curves which describe the fuz...

For large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. Mechanism simplification is often a necessity to improve computational speed. We present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using geneti...