Global transformer design optimization using deterministic and non-deterministic algorithms

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 Se...

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Bibliographic Details
Published in:2012 XXth International Conference on Electrical Machines pp. 2323 - 2331
Main Authors: Amoiralis, E. I., Tsili, M. A., Kladas, A. G.
Format: Conference Proceeding
Language:English
Published: IEEE 01.09.2012
Subjects:
Algorithm design and analysis
Design optimization
deterministic algorithms
differential evolution
genetic algorithm
harmony search
mixed integer nonlinear programming
non-deterministic algorithms
Power transformers
Sociology
Statistics
transformers
Vectors
ISBN:9781467301435, 1467301434
Online Access:Get full text
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Summary: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.
ISBN:9781467301435
1467301434
DOI:10.1109/ICElMach.2012.6350207