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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
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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.