Multivariate convergence-targeted operator for the genetic algorithm

Multivariate convergence-targeted operator for the genetic algorithm

Optimization of complex particle transport simulation packages could be managed using genetic algorithms as a tuning instrument for learning statistics and behavior of multi-objective optimisation functions. Combination of genetic algorithm and unsupervised machine learning could significantly incre...

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Bibliographic Details
Main Authors: Oksana Shadura, Anatoly I. Petrenko, Sergiy Ya. Svistunov
Format: Article
Language:Ukrainian
Published: Igor Sikorsky Kyiv Polytechnic Institute 2017-03-01
Series:Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï
Subjects:
machine learning
genetic algorithm
Pareto Front
principle component analysis
transport particle simulations
Online Access:http://journal.iasa.kpi.ua/article/view/101845

Internet

http://journal.iasa.kpi.ua/article/view/101845

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