Design optimization of steel–concrete hybrid wind turbine tower based on improved genetic algorithm

2020 ◽  
Vol 29 (10) ◽  
Author(s):  
Junling Chen ◽  
Jinwei Li ◽  
Xinheng He
Keyword(s):  
Genetic Algorithm ◽  
Wind Turbine ◽  
Design Optimization ◽  
Improved Genetic Algorithm ◽  
Wind Turbine Tower

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.

Fuzzy-Robust Design Optimization of Dimension Tolerance Using the Improved Genetic Algorithm

2011 ◽  
Vol 55-57 ◽  
pp. 1502-1505
Author(s):  
Bo Zhong
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
Robust Design ◽  
Treatment Method ◽  
Robust Design Optimization ◽  
Continuous Variables ◽  
Discrete Variables ◽  
Improved Genetic Algorithm ◽  
Design Problems ◽  
Standard Genetic Algorithm

The standard genetic algorithm is improved by introducing the engineering treatment method of design vector in order to solve the optimization problem with mixed-discrete variables. A program of improved genetic algorithm has been designed. It can be used to solve the optimal design problems with continuous variables, discrete variables or mixed-discrete variables. For a dimension chain, the fuzzy-robust design of dimension tolerance is discussed and a model of fuzzy-robust design optimization is established. The solution of established model is achieved by using the improved genetic algorithm and the robustness of the dimension tolerance has been improved. The example shows that the proposed method is effective in engineering design.

Improved genetic algorithm for mixed-discrete-continuous design optimization problems

2010 ◽  
Vol 42 (10) ◽  
pp. 927-941 ◽  
Author(s):  
Kuo-Ming Lee ◽  
Jinn-Tsong Tsai ◽  
Tung-Kuan Liu ◽  
Jyh-Horng Chou
Keyword(s):  
Genetic Algorithm ◽  
Design Optimization ◽  
Optimization Problems ◽  
Improved Genetic Algorithm
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