Hybrid Metaheuristics Powerful Tools for Optimization /

This book explains the most prominent and some promising new, general techniques that combine metaheuristics with other optimization methods. A first introductory chapter reviews the basic principles of local search, prominent metaheuristics, and tree search, dynamic programming, mixed integer linea...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Blum, Christian (Συγγραφέας), Raidl, Günther R. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Artificial Intelligence: Foundations, Theory, and Algorithms,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Introduction
  • Incomplete Solution Representations and Decoders
  • Hybridization Based on Problem Instance Reduction
  • Hybridization Based on Large Neighborhood Search
  • Making Use of a Parallel, Non-independent, Construction of Solutions Within Metaheuristics
  • Hybridization Based on Complete Solution Archives
  • Further Hybrids and Conclusions. .