Evolutionary optimization by distribution estimation with mixtures of factor analyzers

2003 ◽  
Author(s):  
Dong-Yeon Cho ◽  
Byoung-Tak Zhang
Keyword(s):  
Evolutionary Optimization ◽  
Distribution Estimation ◽  
Mixtures Of Factor Analyzers

Probability distribution estimation for Web service QoS based on max entropy principle

2013 ◽  
Vol 32 (10) ◽  
pp. 2728-2731
Author(s):  
Zhi-hua DAI ◽  
Xiao-dong FU ◽  
Yuan HUANG ◽  
Nan JIA
Keyword(s):  
Probability Distribution ◽  
Web Service ◽  
Distribution Estimation ◽  
Entropy Principle

Genetic algorithm application for optimization of geometry of synchronous electric motor with permanent magnets by criterion of electromagnetic torque

2019 ◽  
pp. 56-62
Author(s):  
I. N. Belezyakov ◽  
K. G. Arakancev
Keyword(s):  
Genetic Algorithm ◽  
Electric Motor ◽  
Permanent Magnets ◽  
Evolutionary Optimization ◽  
Electric Machines ◽  
Geometric Parameters ◽  
Geometrical Parameters ◽  
Electromagnetic Torque ◽  
Automatic Control Systems ◽  
Optimization Of Geometry

At present time there is a need to develop a methodology for electric motors design which will ensure the optimality of their geometrical parameters according to one or a set of criterias. With the growth of computer calculating power it becomes possible to develop methods based on numerical methods for electric machines computing. The article describes method of a singlecriterion evolutionary optimization of synchronous electric machines with permanent magnets taking into account the given restrictions on the overall dimensions and characteristics of structural materials. The described approach is based on applying of a genetic algorithm for carrying out evolutionary optimization of geometric parameters of a given configuration of electric motor. Optimization criteria may be different, but in automatic control systems high requirements are imposed to electromagnetic torque electric machine produces. During genetic algorithm work it optimizes given geometric parameters of the electric motor according to the criterion of its torque value, which is being calculated using finite element method.

Data-Driven Evolutionary Optimization

2021 ◽  
Author(s):  
Yaochu Jin ◽  
Handing Wang ◽  
Chaoli Sun
Keyword(s):  
Evolutionary Optimization ◽  
Data Driven

scholarly journals Weed Density and Distribution Estimation for Precision Agriculture Using Semi-Supervised Learning

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 27971-27986
Author(s):  
Shantam Shorewala ◽  
Armaan Ashfaque ◽  
R. Sidharth ◽  
Ujjwal Verma
Keyword(s):  
Supervised Learning ◽  
Precision Agriculture ◽  
Weed Density ◽  
Distribution Estimation
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