Genetic Algorithms: Principles and Perspectives

A Guide to GA Theory
Softcover Nachdruck of the original 1. Auflage 2002
ISBN: 978-1-4757-7818-2
Verlag: Springer US

Buch, Englisch, Band 20, 332 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 528 g

Reihe: Operations Research/Computer Science Interfaces Series

Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems.

Zielgruppe

Research

Autoren/Hrsg.

Rowe, Jonathan E.

Reeves, Colin R.

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik Mathematik Stochastik
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Basic Principles.- Schema Theory.- No Free Lunch for GAs.- GAs as Markov Processes.- The Dynamical Systems Model.- Statistical Mechanics Approximations.- Predicting GA Performance.- Landscapes.- Summary.