Advances in Differential Evolution
Differential evolution is arguably one of the hottest topics in today's computational intelligence research. This book seeks to present a comprehensive study of the state of the art in this technology and also directions for future research. The fourteen chapters of this book have been written...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| 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,
143 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Differential Evolution Research – Trends and Open Questions
- Eliminating Drift Bias from the Differential Evolution Algorithm
- An Analysis of the Control Parameters’ Adaptation in DE
- Stopping Criteria for Differential Evolution in Constrained Single-Objective Optimization
- Constrained Optimization by ? Constrained Differential Evolution with Dynamic ?-Level Control
- Opposition-Based Differential Evolution
- Multi-objective Optimization Using Differential Evolution: A Survey of the State-of-the-Art
- A Review of Major Application Areas of Differential Evolution
- The Differential Evolution Algorithm as Applied to Array Antennas and Imaging
- Applications of Differential Evolution in Power System Optimization
- Self-adaptive Differential Evolution Using Chaotic Local Search for Solving Power Economic Dispatch with Nonsmooth Fuel Cost Function
- An Adaptive Differential Evolution Algorithm with Opposition-Based Mechanisms, Applied to the Tuning of a Chess Program
- Differential Evolution for the Offline and Online Optimization of Fed-Batch Fermentation Processes
- Worst Case Analysis of Control Law for Re-entry Vehicles Using Hybrid Differential Evolution.
