Improved genetic algorithm for optimization design of a three-dimensional braided composite joint

2018 ◽  
Vol 206 ◽  
pp. 668-680 ◽  
Author(s):  
Ziyang Tian ◽  
Ying Yan ◽  
Yang Hong ◽  
Fangliang Guo ◽  
Jinxin Ye ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Optimization Design ◽  
Three Dimensional ◽  
Improved Genetic Algorithm ◽  
Braided Composite ◽  
Composite Joint

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.

An improved genetic algorithm for three-dimensional reconstruction from a single uniform texture image

2016 ◽  
Vol 22 (2) ◽  
pp. 477-486 ◽  
Author(s):  
Yujuan Sun ◽  
Xiaofeng Zhang ◽  
Muwei Jian ◽  
Shengke Wang ◽  
Zeju Wu ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Texture Image ◽  
Improved Genetic Algorithm ◽  
Dimensional Reconstruction

scholarly journals Protein Structure Prediction Based on Improved Genetic Algorithm

2020 ◽  
Vol 11 (9) ◽  
pp. 450-454
Author(s):  
Jiaxi Liu ◽  
Keyword(s):  
Genetic Algorithm ◽  
Protein Structure ◽  
Amino Acid ◽  
Protein Structure Prediction ◽  
Structure Prediction ◽  
Protein Structures ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Improved Genetic Algorithm ◽  
Research Areas

The prediction of protein three-dimensional structure from amino acid sequence has been a challenge problem in bioinformatics, owing to the many potential applications for robust protein structure prediction methods. Protein structure prediction is essential to bioscience, and its research results are important for other research areas. Methods for the prediction an才d design of protein structures have advanced dramatically. The prediction of protein structure based on average hydrophobic values is discussed and an improved genetic algorithm is proposed to solve the optimization problem of hydrophobic protein structure prediction. An adjustment operator is designed with the average hydrophobic value to prevent the overlapping of amino acid positions. Finally, some numerical experiments are conducted to verify the feasibility and effectiveness of the proposed algorithm by comparing with the traditional HNN algorithm.

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