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.
| ISBN: | 9781402072406 |
| Publication date: | 31st December 2002 |
| Author: | Colin R Reeves, Jonathan E Rowe |
| Publisher: | Springer an imprint of Springer US |
| Format: | Hardback |
| Pagination: | 332 pages |
| Series: | Operations Research/computer Science Interfaces Series |
| Genres: |
Artificial intelligence Management decision making Operational research Probability and statistics Optimization |
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.
Genetic Algorithms features in the following genres: Artificial intelligence, Management decision making, Operational research, Probability and statistics, Optimization
Hardback. Not Available.
Genetic Algorithms was written by Colin R Reeves, Jonathan E Rowe and published by Springer an imprint of Springer US
Genetic Algorithms has 332 pages
Yes it is part of Operations Research/computer Science Interfaces Series series