A new continuous optimization algorithm based on sociological models

Genetic algorithms (GAs) have a wide variety of applications in control. However, GAs may suffer from slow convergence rates, and require the user to make difficult choices of ranking and scaling schemes and subpopulations that may lead to complexities in implementation. A new computationally inexpe...

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Veröffentlicht in:	2005 American Control Conference S. 237 - 242 vol. 1
Hauptverfasser:	Noel, M.M., Jannett, T.C.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 2005
Schlagworte:	Computational modeling Concurrent computing Control systems Convergence Decoding Encoding Genetic algorithms Nonlinear control systems Routing Testing
ISBN:	0780390989, 9780780390980, 9780780390997, 0780390997
ISSN:	0743-1619
Online-Zugang:	Volltext
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