Application research based on improved genetic algorithm for optimum design of power transformers

In order to attain global optimal or quasioptimum solution for power transformers design, some interrelated key techniques such as encoding scheme, genetic operators, constrained condition, fitness function for the simple genetic algorithm (SGA) are further reformed and researched. An improved genet...

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Bibliographische Detailangaben

Hauptverfasser:	Li Hui, Han Li, He Bei, Yang Shunchang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Biological cells Cost function Design optimization Educational institutions Encoding Genetic algorithms Helium Power engineering and energy Power transformers
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