Adaptive and Multilevel Metaheuristics

One of the keystones in practical metaheuristic problem-solving is the fact that tuning the optimization technique to the problem under consideration is crucial for achieving top performance. This tuning/customization is usually in the hands of the algorithm designer, and despite some methodological...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Cotta, Carlos (Επιμελητής έκδοσης), Sevaux, Marc (Επιμελητής έκδοσης), Sörensen, Kenneth (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Σειρά:Studies in Computational Intelligence, 136
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Reviews of the Field
  • Hyperheuristics: Recent Developments
  • Self-Adaptation in Evolutionary Algorithms for Combinatorial Optimisation
  • New Techniques and Applications
  • An Efficient Hyperheuristic for Strip-Packing Problems
  • Probability-Driven Simulated Annealing for Optimizing Digital FIR Filters
  • RASH: A Self-adaptive Random Search Method
  • Market Based Allocation of Transportation Orders to Vehicles in Adaptive Multi-objective Vehicle Routing
  • A Simple Evolutionary Algorithm with Self-adaptation for Multi-objective Nurse Scheduling
  • Individual Evolution as an Adaptive Strategy for Photogrammetric Network Design
  • Adaptive Estimation of Distribution Algorithms
  • Initialization and Displacement of the Particles in TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm
  • Evolution of Descent Directions
  • “Multiple Neighbourhood” Search in Commercial VRP Packages: Evolving Towards Self-Adaptive Methods
  • Automated Parameterisation of a Metaheuristic for the Orienteering Problem.