scholarly journals Numerical Simulation Techniques Research and Application in Genetic Algorithm Design

2014 ◽  
Vol 8 (1) ◽  
pp. 63-68
Author(s):  
Yamian Peng ◽  
Chunfeng Liu ◽  
Dianxuan Gong
Keyword(s):  
Numerical Simulation ◽  
Genetic Algorithm ◽  
Inverse Problem ◽  
Computer Simulation ◽  
Parameter Identification ◽  
Algorithm Design ◽  
Global Optimum ◽  
Two Dimensional ◽  
Simulation Techniques ◽  
Numerical Calculation Method

Numerical simulation techniques are also called computer simulation, which take the computer as a means to study all kinds of engineering and physical problems even natural objective through numerical calculation method and image display. This paper studied the numerical simulation techniques and try to solve two-dimensional convectiondiffusion equation parameter identification inverse problem by the genetic algorithm. Firstly, the finite element method was illustrated to solve the steady problem of two-dimensional convection-diffusion equation before it compute parameter identification inverse problem each time. Subsequently, it can search the best approximate solution from many initial points and obtained the global optimum solution by means of crossover operator and mutation operator. Finally, the paper discussed the computer simulation of GA for solving the inverse problem, and puts forward a new method for solving inverse problem: Genetic algorithm based on the best disturbed iteration. The results of numerical simulation show that the genetic algorithm has the higher accuracy and the quicker convergent speed. And it is easy to program and calculate and is of great application.

Parameter Identification of Thermal Visco-Plastic Model Considering Dynamic Recrystallization

2007 ◽  
Vol 561-565 ◽  
pp. 1869-1874
Author(s):  
Quan Lin Jin ◽  
Yan Shu Zhang
Keyword(s):  
Numerical Simulation ◽  
Genetic Algorithm ◽  
Parameter Identification ◽  
Optimization Methods ◽  
Optimization Method ◽  
Special Program ◽  
Global Optimization Method ◽  
Material Parameters ◽  
Real Coded Genetic Algorithm ◽  
Deformation Test

A hybrid global optimization method combining the Real-coded genetic algorithm and some classical local optimization methods is constructed and applied to develop a special program for parameter identification. Finally, the parameter identification for both 26Cr2Ni4MoV steel and AZ31D magnesium alloy is carried out by using the program. A comparison of deformation test and numerical simulation shows that the parameter identification and the obtained two sets of material parameters are all available.

GENERATION OF SYMMETRICAL COLORED IMAGES VIA SOLUTION OF THE INVERSE PROBLEM OF CHEMICAL REACTIONS DISCRETE CHAOTIC DYNAMICS

2006 ◽  
Vol 16 (05) ◽  
pp. 1419-1434 ◽  
Author(s):  
V. GONTAR ◽  
O. GRECHKO
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Inverse Problem ◽  
Mathematical Models ◽  
Chemical Reactions ◽  
Chaotic Dynamics ◽  
Two Dimensional

An automatic procedure for generating colored two-dimensional symmetrical images based on the chemical reactions discrete chaotic dynamics (CRDCD) is proposed. The inverse problem of derivation of symmetrical images from CRDCD mathematical models was formulated and solved using a special type of genetic algorithm. Different symmetrical images corresponding to the solutions of a CRDCD mathematical model for which the parameters were obtained automatically by the proposed method are presented.

Computer simulation of hopping conductivity in lightly doped two-dimensional semiconductors

1988 ◽  
Vol 66 (2) ◽  
pp. 150-154 ◽  
Author(s):  
Mark R. A. Shegelski ◽  
Robert Barrie
Keyword(s):  
Numerical Simulation ◽  
Computer Simulation ◽  
Low Temperature ◽  
Density Of States ◽  
Asymptotic Form ◽  
Two Dimensional ◽  
Resistor Network ◽  
Temperature Range ◽  
Full Form ◽  
The Difference

We present the results of a numerical simulation of a two-dimensional lightly doped compensated semiconductor. We choose a flat density of states with width Δε. We model the semiconductor as a Miller and Abrahams type resistor network; we use the full form of the resistance and do not take the low-temperature asymptotic form because we carry out the simulation at temperatures for which kT is of order Δε. We find that there is a wide temperature range for which [Formula: see text] with ε3 = 0.28Δε. This value of ε3 is considerably smaller than values found by others. We believe that the difference between our result and those of other workers may be attributed to their use of the low-temperature form of the resistance [Formula: see text] in a temperature range in which kT is of order Δε.

Numerical Method Research of Partial Differential Equations Inverse Problem

2011 ◽  
Vol 50-51 ◽  
pp. 455-458
Author(s):  
Ya Li He ◽  
Ya Mian Peng ◽  
Li Chao Feng
Keyword(s):  
Numerical Simulation ◽  
Genetic Algorithm ◽  
Inverse Problem ◽  
Partial Differential Equations ◽  
Differential Equations ◽  
Numerical Method ◽  
High Accuracy ◽  
Practical Application ◽  
Partial Differential ◽  
Comprehensive Coverage

It is feasible for the inverse problem of research in the very vital significance between in practical application. Genetic algorithm is applied in many aspects, but we are more concerned with the application in mathematics. From the start of genetic algorithm, the collection to search for comprehensive coverage of preferred. Due to genetic algorithm is used to search the information, and does not need such problems with the problem is directly related to the derivative of the information. Finally, the results of numerical simulation show that the GA method has high accuracy and quick convergent speed. And it is easy to program and calculate. It is worth of practical application.

Optimization by Numerical Simulation of the Focusing Properties of Self-Magnetically Insulated Ion Diodes

1991 ◽  
Vol 02 (01) ◽  
pp. 536-540
Author(s):  
THOMAS WESTERMANN
Keyword(s):  
Numerical Simulation ◽  
Computer Simulation ◽  
Power Density ◽  
The Self ◽  
Anode Surface ◽  
Two Dimensional ◽  
Simulation Results ◽  
Focusing Properties

We present two-dimensional electromagnetic computer simulation results performed in order to investigate the focusing properties of self-magnetically insulated ion diodes. It has been shown computationally that in the case of the self-magnetically insulated bθ-diode the power density can be improved by a factor 10 by changing the anode surface.

Genetic Algorithm Based Optimization Technique for Savonius-Style Wind Turbine

2021 ◽  
Author(s):  
Diplina Paul ◽  
Abhisek Banerjee
Keyword(s):  
Numerical Simulation ◽  
Genetic Algorithm ◽  
Flow Field ◽  
Wind Turbine ◽  
Fitness Function ◽  
Optimization Technique ◽  
Coefficient Of Performance ◽  
Design Parameters ◽  
Speed Ratio ◽  
Two Dimensional

Abstract In this article, authors have studied genetic algorithm-based optimization technique to optimize rotor profile for elliptic shaped Savonius-style wind turbine with an aim to maximize the coefficient of performance. Genetic algorithm has been used to optimize design variables having distinct values and discontinuous and nondifferentiable objective functions. Optimization procedure using genetic algorithm uses the following steps: initialization, assessment, assortment, crossover and lastly alteration. Once the genetic algorithm is initialized, then the evaluation process trails, where each parametric value is evaluated based on the fitness function stated as objective function. Then the GA operators i.e assortment, cross over and alteration are applied. At the end of GA operation procedure, a new set of values of design parameter is generated. This procedure is endlessly iterated until the convergence criteria is met. Then the optimized and non-optimized profiles are studied using numerical simulation. Initially a two-dimensional numerical model is developed and validated against experimental results. The two-dimensional analysis is conducted using k-ω shear stress transport model. Unsteady Reynold’s Averaged Navier Stoke’s equations have been solved to simulate the flow field of a Savonius-style rotor. This analysis has been executed using finite volume approach in Fluent 17.2 version. Grid independence study is performed to curtail the effect of grid size on the flow field portrayals. The optimization technique implemented on the Savonius-style wind turbine, generated design parameters that were able to yield a coefficient of performance value of 0.398. The coefficient of torque and coefficient of performance values are studied for both optimized and non-optimized profile as a function of tip speed ratio. Numerical simulation predicted a maximum gain of 41% for coefficient of performance at TSR = 1.0 over for optimized profile over the non-optimized profile.

scholarly journals The numerical simulation techniques research and preliminary experimental validation of the start characteristics for a two-dimensional hypersonic inlet

2019 ◽  
Author(s):  
A. Yu ◽  
D. Yang ◽  
J. Wu ◽  
H. Ni ◽  
J. Le
Keyword(s):  
Numerical Simulation ◽  
Mach Number ◽  
Flow Field ◽  
Experimental Validation ◽  
Incoming Flow ◽  
Two Dimensional ◽  
Numerical Techniques ◽  
Simulation Techniques ◽  
Hypersonic Inlet ◽  
Mach Numbers

The paper presents the research of the numerical simulation techniques and the preliminary experimental validation on the start characteristics for a typical two-dimensional (2D) hypersonic inlet. In order to obtain the start and unstart hysteresis loop, numerical simulations methods using the incoming flow field, the zero-velocity flow field, and the latest convergent flow field as the initialized flow field separately are adopted to calculate the inlet start characteristics until the flow fields converge. The calculation software is AHL3D, a parallel computational fluid software self-developed by CARDC. The numerical methods also include the method from unstart flow field to start one with Mach-numbers gradually increasing till the inlet is start and the method from start flow field to unstart one with Mach-numbers decreasing till the inlet is unstart. According to the comparison with different initialized flow field and with different step-size of Mach-number, the inlet start characteristics are obtained and the numerical techniques are analyzed. Based on the comparison and the analysis, it is suggested that the numerical techniques of inlet start characteristics should use the zero-initialized flow field with one step to the final Mach-numbers to predict the minimal self-start Mach-number of the inlet and use the incoming flow-initialized flow field to predict the minimum start Mach-number. The results show that the numerical techniques are high-efficient and easily operational. To verify the effect of the numerical techniques, wind tunnel tests are arranged to research the start characteristics of a typical 2D hypersonic inlet. The preliminary experimental result shows that the numerical techniques of predicting inlet start characteristics are consistent with the experiments very well, which means that the application of the numerical techniques can be further carried out for such hypersonic inlets as mentioned in the current paper.

Research of Genetic Algorithm for Parabolic Equation Inverse Problem

2011 ◽  
Vol 50-51 ◽  
pp. 428-431
Author(s):  
Ya Mian Peng ◽  
Guan Chen Zhou ◽  
Hui Juan Zhao
Keyword(s):  
Numerical Simulation ◽  
Genetic Algorithm ◽  
Inverse Problem ◽  
Genetic Algorithms ◽  
Parabolic Equation ◽  
Optimization Problem ◽  
High Accuracy ◽  
Practical Application ◽  
New Approach ◽  
Ill Posed

It is difficult to solve the inverse problem because it always ill-posed. This paper introduced a new approach based on Genetic Algorithms (GA) for solve the parabolic equation inverse problem. The GA transforms the inverse problem into an optimization problem. The results of numerical simulation show that the method has high accuracy and quick convergent speed. And it is easy to program and calculate. It is worth of practical application.

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