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...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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Edición: | 1st ed. 2008. |
Colección: | Studies in Computational Intelligence,
143 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.