An Adaptive Penalty Formulation for Constrained Evolutionary Optimization

2009 ◽  
Vol 39 (3) ◽  
pp. 565-578 ◽  
Author(s):  
B. Tessema ◽  
G.G. Yen
Keyword(s):  
Evolutionary Optimization ◽  
Penalty Formulation ◽  
Adaptive Penalty

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
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