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A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices
(Institute of Electrical and Electronics Engineers (IEEE), 2000-07-01)
A self-learning simulated annealing algorithm is developed by combining the characteristics of simulated annealing and domain elimination methods. The algorithm is validated by using a standard mathematical function and ...
A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
A performance evaluation of electromagnetic time reversal method for locating faults in branched cable networks
(2019-01-25)
The post-failure impedance estimative method is one of the most used ways to locate faults in distribution systems. However, the presence of the distributed generation can degrade the precision of this kind of procedure. ...
A Performance Evaluation of Electromagnetic Time Reversal Method for Locating Faults in Branched Cable Networks
(Ieee, 2018-01-01)
The post-failure impedance estimative method is one of the most used ways to locate faults in distribution systems. However, the presence of the distributed generation can degrade the precision of this kind of procedure. ...
A new implementation of Population Based Incremental Learning method for optimization studies in electromagnetics
(2006-11-21)
To enhance the global search ability of Population Based Incremental Learning (PBIL) methods, It Is proposed that multiple probability vectors are to be Included on available PBIL algorithms. As a result, the strategy for ...
Wavelet-galerkin method for computations of electromagnetic fields-computation of connection coefficients
(Institute of Electrical and Electronics Engineers (IEEE), 2000-12-01)
One of the key issues which makes the waveletGalerkin method unsuitable for solving general electromagnetic problems is a lack of exact representations of the connection coefficients. This paper presents the mathematical ...