Adaptation and Hybridization in Computational Intelligence

  This carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that are divided into three parts. The first part illustrates background information and provides some theoretical foundation t...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Fister, Iztok (Επιμελητής έκδοσης), Fister Jr., Iztok (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Σειρά:Adaptation, Learning, and Optimization, 18
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Adaptation and Hybridization in Nature-Inspired Algorithms
  • Adaptation in the Differential Evolution
  • On the Mutation Operators in Evolution Strategies
  • Adaptation in Cooperative Coevolutionary Optimization
  • Study of Lagrangian and Evolutionary Parameters in Krill Herd Algorithm
  • Solutions of Non-Smooth Economic Dispatch Problems by Swarm Intelligence
  • Hybrid Artifcial Neural Network for Fire Analysis of Steel Frames
  • A Differential Evolution Algorithm with A Variable Neighborhood Search for Constrained Function Optimization
  • A Memetic Differential Evolution Algorithm for the Vehicle Routing Problem with Stochastic Demands.