Advances in Differential Evolution

• Corporate Author: SpringerLink (Online service)
• Other Authors: Chakraborty, Uday K. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Studies in Computational Intelligence, 143
• Subjects: Computer science.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.

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...

Table of Contents:

• 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.