An Introduction to Metaheuristics for Optimization

The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundationa...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Chopard, Bastien (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Tomassini, Marco (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, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Natural Computing Series,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Problems, Algorithms, Computational Complexity
  • Search Space
  • Tabu Search
  • Simulated Annealing
  • Ant Colony Optimization (ACO)
  • Non-PSO Optimization
  • Firefly Algorithm, Cuckoo Algorithm, Lévy Flights
  • Evolutionary Algorithms: Foundations
  • Evolutionary Algorithms: Advanced
  • Phase Transition in Optimization Problems
  • Performance and Limitations of Metaheuristics
  • Statistical Analysis of Research Spaces.