Self-Adaptive Heuristics for Evolutionary Computation

Self-Adaptive Heuristics for Evolutionary Computation

Evolutionary algorithms are successful biologically inspired meta-heuristics. Their success depends on adequate parameter settings. The question arises: how can evolutionary algorithms learn parameters automatically during the optimization? Evolution strategies gave an answer decades ago: self-adapt...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Kramer, Oliver (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Σειρά:	Studies in Computational Intelligence, 147
Θέματα:	Computer science. Artificial intelligence. Computer-aided engineering. Applied mathematics. Engineering mathematics. Computer Science. Computer-Aided Engineering (CAD, CAE) and Design. Appl.Mathematics/Computational Methods of Engineering. Artificial Intelligence (incl. Robotics).
Διαθέσιμο Online:	Full Text via HEAL-Link

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