Electromagnetic Parameters Optimization Design of Industrial DC Transformer Based on Improved Genetic Algorithm

2020 ◽  
Author(s):  
Li Hai ◽  
Jinfeng Xiao
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Parameters Optimization ◽  
Improved Genetic Algorithm ◽  
Electromagnetic Parameters ◽  
Dc Transformer

The Application of Improved Genetic Algorithms in Computer Network Reliability Optimization

2013 ◽  
Vol 765-767 ◽  
pp. 1564-1567
Author(s):  
Li Yan Wang ◽  
Xian Feng Zheng
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Computer Network ◽  
Network Reliability ◽  
Reliability Optimization ◽  
Improved Genetic Algorithm ◽  
Algorithm Optimization ◽  
Network Link ◽  
Link Cost ◽  
Medium Cost

To decrease network link cost is one of the most important pairs for computer network reliability optimization design. In order to make the network cost minimum, the network link medium cost, mathematics model of reliability and resolve algorithm must be considered when it is designed. In the paper, we present an improved genetic algorithm used in optimization calculation for minimizing total link cost and increasing the reliability of the network. Executive procedures of the improved algorithm are described. The simulation results show that improved genetic algorithm provides a method to resolves the network reliability optimization problem which normal approach can not resolve. By using the maneuverable algorithm, optimization process is accelerated, efficiency is increased.

The Optimization Design of Wind Turbine Gearbox Based on Improved Genetic Algorithm and Feasibility Analysis

2014 ◽  
Vol 889-890 ◽  
pp. 107-112
Author(s):  
Ji Ming Tian ◽  
Xin Tan
Keyword(s):  
Genetic Algorithm ◽  
Wind Turbine ◽  
Optimization Design ◽  
Optimal Solution ◽  
Optimization Method ◽  
Strength Analysis ◽  
Improved Genetic Algorithm ◽  
Global Optimal Solution ◽  
Wind Turbine Gearbox ◽  
Global Optimal

The design of the gearbox must ensure the simplest structure and the lightest weight under the premise of meeting the reliability and life expectancy. According to the requirement of wind turbine, an improved method combined dynamic penalty function with pseudo-parallel genetic algorithm is used to optimize gearbox. It takes the minimum volumes as object functions. It is showed that the ability to search the global optimal solution of improved genetic algorithm and less number of iterations. The global optimal solution is worked out quickly. The size parameters are optimized, as much as the driving stability and efficiency. To verify the feasibility of improved genetic algorithm, ring gear of the gearbox is analyzed. Static strength analysis shows that the optimization method is reasonable and effective.

Design Parameters Optimization of Cutting Head of Cantilever Roadheader Based on Genetic Algorithm

2012 ◽  
Vol 215-216 ◽  
pp. 193-196 ◽  
Author(s):  
Gang Liu ◽  
De Sen Mu ◽  
Shi Xi Duan ◽  
De Chao Song
Keyword(s):  
Genetic Algorithm ◽  
Kinetic Parameters ◽  
Optimization Design ◽  
Production Efficiency ◽  
Rock Strength ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
Design Parameters ◽  
Cutting Head ◽  
Cutting Parameters Optimization

For hard rocks whose protodyakonov scale of hardness f are greater than 8, research on the optimization design of cutting head of cantilever roadheader. Optimization model of the cutting head was established, in this model, the objective function was established based on dust mount, energy consumption and production efficiency. The design variables contain cutting head structural and kinetic parameters, the constraints are determined in accordance with working condition and practical experience. Cutting head parameters are optimized with parameters change related to rock strength, using genetic algorithm in Matlab7.0. A variety of cutting parameters optimization results related to rock strength are of great significance for the structural design of the cutting head and selection of kinetic parameters.

Ship Cabin Layout Optimization Design Based on the Improved Genetic Algorithm Method

2013 ◽  
Vol 300-301 ◽  
pp. 146-149 ◽  
Author(s):  
Yun Long Wang ◽  
Chen Wang ◽  
Yan Lin
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Optimal Solution ◽  
Optimization Techniques ◽  
The Other ◽  
Improved Genetic Algorithm ◽  
Local Optimal Solution ◽  
Genetic Algorithm Method ◽  
Np Hard Problem ◽  
The One

Based on the improved genetic algorithm method, a kind of the optimization techniques to solve the problem about the ship cabin layout is presented. The problem about the ship cabin layout is a NP-hard problem. This article has used the genetic algorithm method to solve it .However, for the simple and easy procedure, the basic genetic algorithm is slow and easy to fall into a local optimal solution. Therefore, it must be improved. This article has made the following two improvements: on the one hand using the niche method to solve the multi- peak problem; on the other hand using the climbing method to solve the slow and premature convergence. The simulation tests show that this approach proposed by authors is feasible and valid and the result is satisfied.

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