Super-fit control adaptation in memetic differential evolution frameworks

This paper proposes the super-fit memetic differential evolution (SFMDE). This algorithm employs a differential evolution (DE) framework hybridized with three meta-heuristics, each having different roles and features. Particle Swarm Optimization assists the DE in the beginning of the optimization pr...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Germany), 2009-07, Vol.13 (8-9), p.811-831
Hauptverfasser:	Caponio, Andrea, Neri, Ferrante, Tirronen, Ville
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Computational Intelligence Control D C motors Digital filters Digital imaging Engineering Evolutionary computation Focus Image filters Image processing Mathematical Logic and Foundations Mechatronics Optimal control Particle swarm optimization Performance standards Probability distribution functions Robotics
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