Global transformer design optimization using deterministic and non-deterministic algorithms

Author

Amoiralis, Eleftherios I. ; Tsili, Marina A. ; Kladas, A.G.

fYear

2012

fDate

2-5 Sept. 2012

Firstpage

2323

Lastpage

2331

Abstract

The present paper compares the application of one deterministic and three non-deterministic optimization algorithms to global transformer design optimization. One deterministic optimization algorithm (Mixed Integer Nonlinear Programming), is compared to three non-deterministic approaches (Harmony Search, Differential Evolution and Genetic Algorithm). The comparison yields significant conclusions on the efficiency of the algorithms and the selection of the most suitable for the transformer design optimization problem.

Keywords

genetic algorithms; integer programming; nonlinear programming; power transformers; search problems; differential evolution; genetic algorithm; global transformer design optimization; harmony search; mixed integer nonlinear programming; nondeterministic algorithms; Algorithm design and analysis; Design optimization; Power transformers; Sociology; Statistics; Vectors; design optimization; deterministic algorithms; differential evolution; genetic algorithm; harmony search; mixed integer nonlinear programming; non-deterministic algorithms; transformers;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines (ICEM), 2012 XXth International Conference on

Conference_Location

Marseille

Print_ISBN

978-1-4673-0143-5

Electronic_ISBN

978-1-4673-0141-1

Type

conf

DOI

10.1109/ICElMach.2012.6350207

Filename

6350207