Synthesis of an Optimal Recovery Strategy by Using Multi-Objective Genetic Algorithms

Riga Technical University 53rd International Scientific Conference: Dedicated to the 150th Anniversary and the 1st Congress of World Engineers and Riga Polytechnical Institute / RTU Alumni: Digest 2012
Ivars Karpičs

Various methods based on mathematical modeling for the analysis of a functioning system or processes are widely used. Mathematical models has been created and used to perform a full spectrum analysis, investigate the performance under fault conditions and predict further status of the system. Also these models could be used to select or generate a recovery strategy. A correct recovery strategy can stabilize the operation of the system and improve the overall performance conditions. In this article a method for the synthesis of an optimal recovery strategy based on multi-objective genetic algorithms has been proposed. As an implementation of the proposed method an example from medicine is described.

Atslēgas vārdi
Optimization, Genetic algorithms
Hipersaite
http://scientific-conference2012.rtu.lv/sites/default/files/pdf/RTU_Conference_2012.pdf

Karpičs, I. Synthesis of an Optimal Recovery Strategy by Using Multi-Objective Genetic Algorithms. No: Riga Technical University 53rd International Scientific Conference: Dedicated to the 150th Anniversary and the 1st Congress of World Engineers and Riga Polytechnical Institute / RTU Alumni: Digest, Latvija, Rīga, 11.-12. oktobris, 2012. Rīga: RTU, 2012, 25.-25.lpp. ISBN 978-9934-10-360-5.

Publikācijas valoda
English (en)