One Optimum Design Method of Dry-Type Air-Cored Reactors

2011 ◽  
Vol 130-134 ◽  
pp. 3229-3232
Author(s):  
Li Ping Zheng ◽  
Hai Yu ◽  
Ju Feng Dou
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Optimum Design ◽  
Optimization Model ◽  
Design Method ◽  
Improved Genetic Algorithm ◽  
Terminal Voltage ◽  
Set Up ◽  
Correlated Parameters ◽  
Inductive Potential

The process of designing a dry-type air-cored reactor is one repeated way of computing and regulating the correlated parameters, and it is very complex and time-consuming. Therefore, Genetic Algorithm is introduced in this paper, for the purpose of reducing error between total inductive potential of coils and the terminal voltage, we set up the optimization model of an air-cored reactor, and the Improved Genetic Algorithm is adopted to make an optimal design for the air-cored reactor. The results show that designed accuracy can be greatly improved.

A New Testability Optimization Allocation Approach

2013 ◽  
Vol 328 ◽  
pp. 444-449 ◽  
Author(s):  
Gang Liu ◽  
Fang Li
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Iterative Process ◽  
Resource Constraints ◽  
Optimal Solution ◽  
Improved Genetic Algorithm ◽  
Numerical Example ◽  
Set Up ◽  
Optimization Allocation ◽  
Allocation Approach

This paper describes a methodology based on improved genetic algorithms (GA) and experiments plan to optimize the testability allocation. Test resources were reasonably configured for testability optimization allocation, in order to meet the testability allocation requirements and resource constraints. The optimal solution was not easy to solve of general genetic algorithm, and the initial parameter value was not easy to set up and other defects. So in order to more efficiently test and optimize the allocation, migration technology was introduced in the traditional genetic algorithm to optimize the iterative process, and initial parameters of algorithm could be adjusted by using AHP approach, consequently testability optimization allocation approach based on improved genetic algorithm was proposed. A numerical example is used to assess the method. and the examples show that this approach can quickly and efficiently to seek the optimal solution of testability optimization allocation problem.

Optimum design method for simplified model of outrigger and ladder systems in tall buildings using genetic algorithm

Structures ◽  
2020 ◽  
Vol 28 ◽  
pp. 2467-2487
Author(s):  
Wael Alhaddad ◽  
Yahia Halabi ◽  
Hani Meree ◽  
Zhixiang Yu
Keyword(s):  
Genetic Algorithm ◽  
Optimum Design ◽  
Design Method ◽  
Tall Buildings ◽  
Simplified Model
Sign in / Sign up

Export Citation Format

Share Document