Theory and Principled Methods for the Design of Metaheuristics
Metaheuristics, and evolutionary algorithms in particular, are known to provide efficient, adaptable solutions for many real-world problems, but the often informal way in which they are defined and applied has led to misconceptions, and even successful applications are sometimes the outcome of trial...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2014.
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| Σειρά: | Natural Computing Series,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- No Free Lunch Theorems: Limitations and Perspectives of Metaheuristics
- Convergence Rates of Evolutionary Algorithms and Parallel Evolutionary Algorithms
- Rugged and Elementary Landscapes
- Single-Funnel and Multi-funnel Landscapes and Subthreshold Seeking Behavior
- Black-Box Complexity for Bounding the Performance of Randomized Search Heuristics
- Designing an Optimal Search Algorithm with Respect to Prior Information
- The Bayesian Search Game
- Principled Design of Continuous Stochastic Search: From Theory to Practice
- Parsimony Pressure Made Easy: Solving the Problem of Bloat in GP
- Experimental Analysis of Optimization Algorithms: Tuning and Beyond
- Formal Search Algorithms + Problem Characterizations = Executable Search Strategies.