Genetic Algorithms—Principles and Perspectives A Guide to GA Theory /

• Main Authors: Reeves, Colin R. (Author), Rowe, Jonathan E. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2002.
• Series: Operations Research/Computer Science Interfaces Series, 20
• Subjects: Computer science.; Operations research.; Decision making.; Artificial intelligence.; Mathematical optimization.; Statistics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Optimization.; Statistics, general.; Operation Research/Decision Theory.

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 t...

Table of Contents:

• 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.