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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | Natural Computing Series,
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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.