Massively Parallel Evolutionary Computation on GPGPUs

Massively Parallel Evolutionary Computation on GPGPUs

Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite co...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Άλλοι συγγραφείς:	Tsutsui, Shigeyoshi (Επιμελητής έκδοσης), Collet, Pierre (Επιμελητής έκδοσης)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Σειρά:	Natural Computing Series,
Θέματα:	Computer science. Computer organization. Computers. Artificial intelligence. Computational intelligence. Electrical engineering. Computer Science. Artificial Intelligence (incl. Robotics). Computational Intelligence. Theory of Computation. Computer Systems Organization and Communication Networks. Electrical Engineering.
Διαθέσιμο Online:	Full Text via HEAL-Link

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