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Genetic Algorithms: Principles and Perspectives A Guide to GA 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...

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Bibliographic Details
Main Authors: Reeves, Colin R., Rowe, Jonathan E. (Author)
Format: eBook
Language:English
Published: New York, NY Springer US 2002, 2002
Edition:1st ed. 2002
Series:Operations Research/Computer Science Interfaces Series
Subjects:
Operations Research
Optimization
Statistics 
Artificial Intelligence
Statistics
Mathematical Optimization
Operations Research And Decision Theory
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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520 |a 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 

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