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Grammatical Evolution de Michael O'Neill

Grammatical Evolution: Genetic Programming, cartea 4

Autor Michael O'Neill, Conor Ryan
en Limba Engleză Paperback – 30 oct 2012
Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language provides the first comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology in a simple and useful manner, coupled with the use of grammars to specify legal structures in a search. Grammatical Evolution's rich modularity gives a unique flexibility, making it possible to use alternative search strategies - whether evolutionary, deterministic or some other approach - and to even radically change its behavior by merely changing the grammar supplied. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains.
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Specificații

ISBN-13: 9781461350811
ISBN-10: 1461350816
Pagini: 164
Ilustrații: XVI, 144 p.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.26 kg
Ediția:Softcover reprint of the original 1st ed. 2003
Editura: Springer
Colecția Genetic Programming
Seria Genetic Programming

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

1. Introduction.- 1 Evolutionary Automatic Programming.- 2 Molecular Biology.- 3 Grammars.- 4 Outline.- 2. Survey of Evolutionary Automatic Programming.- 1 Introduction.- 2 Evolutionary Automatic Programming.- 3 Origin of the Species.- 4 Tree-based Systems.- 5 String based GP.- 6 Conclusions.- 3. Lessons from Molecular Biology.- 1 Introduction.- 2 Genetic Codes & Gene Expression Models.- 3 Neutral Theory of Evolution.- 4 Further Principles.- 5 Desirable Features.- 6 Conclusions.- 4. Grammatical Evolution.- 1 Introduction.- 2 Background.- 3 Grammatical Evolution.- 4 Discussion.- 5 Conclusions.- 5. Four Examples of Grammatical Evolution.- 1 Introduction.- 2 Symbolic Regression.- 3 Symbolic Integration.- 4 Santa Fe Ant Trail.- 5 Caching Algorithms.- 6 Conclusions.- 6. Analysis of Grammatical Evolution.- 1 Introduction.- 2 Wrapping Operator.- 3 Degenerate Genetic Code.- 4 Removal of Wrapping and Degeneracy.- 5 Mutation Rates.- 6 Conclusions.- 7. Crossover in Grammatical Evolution.- 1 Introduction.- 2 Homologous Crossover.- 3 Headless Chicken.- 4 Conclusions.- 8. Extensions & Applications.- 1 Translation.- 2 Alternative Search Strategies.- 3 Grammar Defined Introns.- 4 GAUGE.- 5 Chorus.- 6 Financial Prediction.- 7 Adaptive Logic Programming.- 8 Sensible Initialisation.- 9 Genetic Programming.- 10 Conclusions.- 9. Conclusions & Future Work.- 1 Summary.- 2 Future Work.

Recenzii

From the reviews:
"This is the first book written on grammatical evolution, a new technique that is receiving increasing attention and use. Therefore, the book fulfills an important role … . The book contains a good description of grammatical evolution … . ‘Grammatical Evolution’ should be useful for specialists and Ph.D. students in the field of grammatical evolution and genetic programming, and people working in artificial intelligence and genetic algorithms in general. We would advise it as a good resource for university libraries." (Manuel Alfonseca and Alfonso Ortega, Genetic programming and Evolvable Machines, Vol. 5, 2004)

Notă biografică

Prof. Anthony Brabazon is currently Associate Dean of the Smurfit Graduate School of Business, University College Dublin (UCD) and Professor of Accountancy; previous positions include Vice-Principal of Research and Innovation for the College of Business and Law, Head of Research for the School of Business and Programme Director for the Master of Accounting Degree. His primary research interests concern the development of natural computing theory and the application of related algorithms to real-world problems, particularly in the domain of business and finance and he has pioneered multidisciplinary collaborations with industry in areas such as financial mathematics, financial economics and computer science. He is cofounder and co director of the Natural Computing Research and Applications Group at UCD, among the most successful research groups dedicated to this subject. He has a bachelor's degree in commerce and a diploma in accounting, he is a qualified professional accountant andhe has postgraduate qualifications in statistics and operations research. Prof. Michael O'Neill holds the ICON Chair of Business Analytics, is Vice-Principal for Research, Innovation & Impact in the UCD College of Business, and is a founding Director of the UCD Natural Computing Research and Applications Group, among the most successful international research groups dedicated to this subject. He is one of the inventors of Grammatical Evolution and is independently ranked as one of the top 5 researchers in Genetic Programming, with over 250 peer-reviewed publications, over 4000 citations and a H-index of 29. He has held senior positions in the key academic conference committees, journal boards and review committees in this field and he has supervised many Ph.D. and research M.Sc. projects in evolutionary computing. He has a bachelor's degree in biology and a Ph.D. in computer science. Dr. Seán McGarraghy is the Director of the UCD Smurfit Graduate School of Business M.Sc. in Business Analytics. He has qualifications in electronics, mathematics and management and his teaching and academic publications cover many aspects of business analytics and operations research. Particular topics of interests include combinatorial enumeration and optimization, network algorithms, supply chain management, quadratic forms and K-theory.