Using Covariance Matrix Adaptation Evolutionary Strategy to boost the search accuracy in hierarchic memetic computations

•Hierarchic Memetic Strategy (HMS) meant for solving ill-posed inverse parametric problems can be successfully coupled with CMA-ES.•The method allows to reduce fitness function evaluation budget while maintaining accuracy of previous solution. Many global optimization problems arising naturally in s...

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Veröffentlicht in:	Journal of computational science Jg. 34; S. 48 - 54
Hauptverfasser:	Sawicki, Jakub, Łoś, Marcin, Smołka, Maciej, Alvarez-Aramberri, Julen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2019
Schlagworte:	Ill-posed problems Inverse problems Memetic algorithms Multi-objective optimization methods Memetic algorithms Ill-posed problems Inverse problems Multi-objective optimization methods
ISSN:	1877-7503, 1877-7511
Online-Zugang:	Volltext
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