Analyzing Evolutionary Algorithms The Computer Science Perspective /

• Main Author: Jansen, Thomas. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Natural Computing Series,
• Subjects: Computer science.; Information theory.; Artificial intelligence.; Mathematical optimization.; Engineering.; Computer Science.; Theory of Computation.; Computational Intelligence.; Optimization.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-17339-4

Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms has seen tremendous advances in recent years. � In this book the author provides an introduction to t...

Table of Contents:

• Introduction
• Evolutionary Algorithms and Other Randomized Search Heuristics
• Theoretical Perspectives on Evolutionay Algorithms
• General Limits in Black-Box Optimization
• Methods for the Analysis of Evolutionary Algorithms
• Selected Topics in the Analysis of Evolutionary Algorithms
• App. A, Landau Notation
• App. B, Tail Estimations
• App. C, Martingales and Applications.