Memetic Computation The Mainspring of Knowledge Transfer in a Data-Driven Optimization Era /

This book bridges the widening gap between two crucial constituents of computational intelligence: the rapidly advancing technologies of machine learning in the digital information age, and the relatively slow-moving field of general-purpose search and optimization algorithms. With this in mind, the...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Gupta, Abhishek (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Ong, Yew-Soon (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Adaptation, Learning, and Optimization, 21
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Introduction: Rise of Memetics in Computing
  • Canonical Memetic Algorithms
  • Data-Driven Adaptation in Memetic Algorithms
  • The Memetic Automaton
  • Sequential Knowledge Transfer across Problems
  • Multitask Knowledge Transfer across Problems
  • Future Direction: Meme Space Evolutions.