DocumentCode :
2183995
Title :
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
Link To Document :
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