Details

Autor(en) / Beteiligte

• Beloglazov, Denis A
• Finaev, Valery I
• Zargarjan, Jury A
• Soloviev, Victor V
• Kosenko, Evgeny Y
• Kobersy, Iskandar S

Titel

EFFICIENCY OF GENETIC ALGORITHMS IN INTELLIGENT HYBRID CONTROL SYSTEMS

Ist Teil von

• ARPN journal of engineering and applied sciences, 2015-04, Vol.10 (6), p.2488-2495

Erscheinungsjahr

2015

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• The paper is devoted to features of genetic algorithms application in intelligent hybrid control systems. We demonstrate a general view over the model of hybrid adaptive control system. Also we considered interaction and tuning of elements of the hybrid adaptive control system. Tuning of elements is carried out with the use of genetic algorithms. We designed ten genetic algorithms for research. Researches are carried out when optimization of a multivariable function by genetic algorithms on the example of learning neural network emulator and neuro-fuzzy controller. In the end we made some conclusions about efficiency of genetic algorithms.