Handbook of Metaheuristics

Metaheuristics, in their original definition, are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. Over time, these methods h...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Glover, Fred (Επιμελητής έκδοσης), Kochenberger, Gary A. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2003.
Σειρά:International Series in Operations Research & Management Science, 57
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Scatter Search and Path Relinking: Advances and Applications
  • An Introduction to Tabu Search
  • Genetic Algorithms
  • Genetic Programming: Automatic Synthesis of Topologies and Numerical Parameters
  • A Gentle Introduction to Memetic Algorithms
  • Variable Neighborhood Search
  • Guided Local Search
  • Greedy Randomized Adaptive Search Procedures
  • The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances
  • The Theory and Practice of Simulated Annealing
  • Iterated Local Search
  • Multi-Start Methods
  • Local Search and Constraint Programming
  • Constraint Satisfaction
  • Artificial Neural Networks for Combinatorial Optimization
  • Hyper-Heuristics: An Emerging Direction in Modern Search Technology
  • Parallel Strategies for Meta-Heuristics
  • Metaheuristic Class Libraries
  • Asynchronous Teams.