In this dissertation, suggestions and innovative solutions are proposed to fully perform an on-line optimization without any risk for the hardware. On the one hand, a new real-time fitness implementation can halt the carrying out of an experiment, if a highly unsatisfactory solution is recognized. On the other hand, a new hybrid architecture integrates EA and simplex method in order speed up the convergence.
Online hybrid evolutionary algorithms for auto-tuning of electric drives / Cascella, Giuseppe Leonardo. - ELETTRONICO. - (2005). [10.60576/poliba/iris/cascella-giuseppe-leonardo_phd2005]
Online hybrid evolutionary algorithms for auto-tuning of electric drives
Cascella, Giuseppe Leonardo
2005-01-01
Abstract
In this dissertation, suggestions and innovative solutions are proposed to fully perform an on-line optimization without any risk for the hardware. On the one hand, a new real-time fitness implementation can halt the carrying out of an experiment, if a highly unsatisfactory solution is recognized. On the other hand, a new hybrid architecture integrates EA and simplex method in order speed up the convergence.File in questo prodotto:
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