Embryonic Electronic Circuit Optimization Design Method Based on Genetic Algorithm

2015 ◽  
pp. 87-98
Author(s):  
Tao Wang ◽  
Jinyan Cai ◽  
Yafeng Meng
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Electronic Circuit ◽  
Design Method ◽  
Circuit Optimization

scholarly journals Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function Construction

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Saeed Mesgari ◽  
Mehrdad Bazazzadeh ◽  
Alireza Mostofizadeh
Keyword(s):  
Genetic Algorithm ◽  
Level Set Method ◽  
Level Set ◽  
Computer Aided Design ◽  
Optimization Design ◽  
Design Method ◽  
Burning Surface ◽  
Aided Design ◽  
Function Construction

This study deals with the application of optimization in Finocyl grain design with ballistic objective functions using a genetic algorithm. The classical sampling method is used for space filling; a level-set method is used for simulating the evaluation of a burning surface of the propellant grain. An algorithm is developed beside the level-set code that prepares the initial grain configuration using a computer-aided design (CAD) to export generated models to the level-set code. The lumped method is used to perform internal ballistic analysis. A meta-model is used to surrogate the level-set method in an optimization design loop. Finally, a case study is done to verify the proposed algorithm. Observed results show that the grain design method reduced the design time significantly, and this algorithm can be used in designing any grain type.

Genetic algorithm-based optimization design method of the Formula SAE racing car’s rear wing

2017 ◽  
Vol 232 (7) ◽  
pp. 1255-1269 ◽  
Author(s):  
Hui Wang ◽  
Qiuyang Bai ◽  
Xufei Hao ◽  
Lin Hua ◽  
Zhenghua Meng
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Design Method ◽  
Optimal Solution ◽  
Optimization Procedure ◽  
Formula Sae ◽  
Design Variables ◽  
Rear Wing ◽  
Sample Points ◽  
Lift And Drag

The aerodynamic devices play an important role on the performance of the Formula SAE racing car. The rear wing is the most significant and popular element, which offers primary down force and optimizes the wake. In traditional rear wing optimization, the optimization variables are first selected, and separately enumerated according to the analyzing experience of the racing car’s external flow field, and thus the optimal design is chosen by comparison. This method is complicated, and even might lose some key sample points. In this paper, the attack angle of the rear wing and the relative position parameters are set as design variables; then the design variables’ combination is determined by the DOE experimental design method. The aerodynamic lift and drag of the racing car for these variables’ combinations are obtained by the computational fluid dynamics method. With these sample points, the approximation model is produced by the response surface method. For the sake of gaining the best lift to drag ( FL/ FD) ratio, i.e. maximum down force and the minimum drag force, the optimal solution is found by the genetic algorithm. The result shows that the established optimization procedure can optimize the rear wing’s aerodynamic characteristic on the racing car effectively and have application values in the practical engineering.

Whole Trajectory Design Optimization of Self-Propelled Artillery Based on Adaptive Genetic Algorithm

2014 ◽  
Vol 971-973 ◽  
pp. 1391-1395
Author(s):  
Fu Qiang Niu ◽  
Cheng Xu ◽  
Xiao Xiao
Keyword(s):  
Genetic Algorithm ◽  
Trajectory Optimization ◽  
Optimization Design ◽  
Design Method ◽  
Structural Parameters ◽  
Engineering Application ◽  
The Self ◽  
Charge Weight ◽  
Adaptive Genetic Algorithm ◽  
Trajectory Design

An optimization design method of whole trajectory for a self-propelled artillery, including interior, exterior and terminal ballistic trajectory, is proposed. The structural parameters of the projectile, ballistic parameters, charge weight and explosive weight are selected as the design variables. The optimization objectives are the largest lethal area, the longest range at 45° and the highest utilization of propellant energy. Constraining the maximum bore pressure, muzzle pressure, packing density and the relative position of propellant burning end, the whole trajectory optimization model of the self-propelled is established. The model is calculated using both genetic algorithm and adaptive genetic algorithm. Optimization results show that the effect and convergence rate of the adaptive genetic algorithm are better than those of the genetic algorithm. The method in this paper play an important role in theory reference and engineering application for the whole trajectory design of the self-propelled artillery.

Optimization Design of Cantilever Supporting Structure

2013 ◽  
Vol 357-360 ◽  
pp. 2410-2413
Author(s):  
Wei Xu ◽  
Jian Sheng Feng ◽  
Fei Fei Feng
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Design Method ◽  
Optimal Solution ◽  
Optimization Method ◽  
Original Design ◽  
Supporting Structure ◽  
Primary Object ◽  
Design Variables ◽  
Optimum Solution

The primary object of this fundamental research is to reveal the application of genetic algorithm improved on the optimization design of cantilever supporting structure. In order to meet the strength of pile body and pile top displacement as well as design variables subjected to constraint, an algorithm is carried on to seek the optimum solution and relevant examples by means of comprehensively considering the effects on center-to-center spacing between piles,pile diameter and quantity of distributed steel, which is taken the lowest engineering cost as objective function. Through the comparison of the optimized scheme and original design, this fruitful work provides explanation to the effectiveness of genetic algorithm in optimization design. These findings of the research lead to the conclusion that the shortcomings of traditional design method is easy to fall into local optimal solution. The new optimization method can overcome this drawback.

Optimization and Design for Wind Turbine Airfoil at Multiple Working Conditions Based on Genetic Algorithm

2014 ◽  
Vol 668-669 ◽  
pp. 230-235
Author(s):  
Ya Qiong Chen ◽  
Yue Fa Fang ◽  
Sheng Guo
Keyword(s):  
Genetic Algorithm ◽  
Wind Turbine ◽  
Working Conditions ◽  
Optimization Design ◽  
Design Method ◽  
Aerodynamic Performance ◽  
Linear Perturbation ◽  
Airfoil Optimization ◽  
Wind Turbine Airfoil ◽  
Performance Results

S827 wind turbine airfoil was considered as original airfoil, which was created by NREL. Linear perturbation methods were used to get new shape parameters of wind turbine airfoil. Optimization of original airfoil was carried out based on genetic algorithm and XFOIL software, which was used to get aerodynamic performance. Results shows that the lift-drag radio of optimized airfoil was remarkable improved under multiple working conditions. Aerodynamic performance of optimized airfoil was much better comparing with the original airfoil. The optimal design method for wind turbine airfoil used in this paper can be used to optimization design of high lift-drag ratio wind turbine airfoil. Engineering practical value is considered by this method and it is feasible and efficient through example.

Research of Space Electronic Circuit Optimization Design

2011 ◽  
Vol 48-49 ◽  
pp. 932-936
Author(s):  
Xue Song Yan ◽  
Qing Hua Wu ◽  
Cheng Yu Hu ◽  
Qing Zhong Liang
Keyword(s):  
Evolutionary Algorithms ◽  
Circuit Design ◽  
Optimization Design ◽  
Design Method ◽  
Dynamic Change ◽  
Electronic System ◽  
Circuit Optimization ◽  
The Stability ◽  
Exploratory Mission ◽  
Adverse Circumstance

During the space electronic system in carries out the exploratory mission in the deep space, it maybe faced with kinds of violent natural environment, to electric circuit's performance, the volume, the weight and the stability proposed a higher request, the traditional circuit design method already more and more with difficulty satisfied this kind of request. The traditional circuit design method already more and more with difficulty satisfied this kind of request. But unifies the programmable component and the evolutionary algorithms hardware may the dynamic change hardware's structure adapt the adverse circumstance, resume the damage of the function, the adaptation for the duty change. In view of the Xilinx Company's FPGA unique feature, proposed one kind of evolutionary algorithms which uses in the space electronic system circuit optimization design and through the experiment proved, the algorithm obtains the circuit structure to surpass the tradition circuit design method.

Optimal Design of Electronic Circuit

2011 ◽  
Vol 58-60 ◽  
pp. 2581-2584
Author(s):  
Jing Li Wang
Keyword(s):  
Optimal Design ◽  
Optimization Design ◽  
Analog Circuit ◽  
Electronic Circuit ◽  
Teaching Practice ◽  
Tolerance Analysis ◽  
Optimization Method ◽  
Practical Significance ◽  
Automatic Design ◽  
Circuit Optimization

Circuit optimization method should include the topology of automatic design circuit and automatically determine components parameters of the circuit. At present, CAD or EDA optimization tools is produced by combined optimization algorithm and the basic analysis above together with the tolerance analysis. In this paper, optimization design which can modular basic analog circuit by using Optimizer, which makes the circuit topology structure and component parameters tend to be more reasonable, provides the basis for teaching practice and scientific research. It has practical significance.

Applied Micro Genetic Algorithm to Optimize Design Low Specific Speed Pump Impeller

2013 ◽  
Vol 816-817 ◽  
pp. 1010-1014
Author(s):  
Deng Song Li ◽  
Wen Wu Song ◽  
Fu Jie ◽  
Tian Long Wu
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
High Efficiency ◽  
Design Method ◽  
Pump Impeller ◽  
Shaft Power ◽  
Low Specific Speed ◽  
Micro Genetic Algorithm ◽  
Specific Speed ◽  
Design Deficiencies

The combination of enlarged flow design and micro-genetic algorithm constitute a new optimization design method, which be applied to optimization design of low specific speed pump impeller. It improves enlarged flow design deficiencies, and making overall performance of the pump better. The experimental results of a low specific speed centrifugal pump impeller designed by proposed method show that pump high efficiency range is extended, the hump phenomenon is eliminated, and shaft power overload phenomenon has been resolved.

Sign in / Sign up

Export Citation Format

Share Document