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Genetic Programming - European Conference, EuroGP 2000 Edinburgh, Scotland, UK, April 15-16, 2000 Proceedings (Paperback, 2000 ed.)
Riccardo Poli, Wolfgang Banzhaf, William B. Langdon, Julian F. Miller, Peter Nordin, …
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R1,581
Discovery Miles 15 810
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Ships in 10 - 15 working days
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This volume contains the proceedings of EuroGP 2000, the European
Conf- ence on Genetic Programming, held in Edinburgh on the 15th
and 16th April 2000. This event was the third in a series which
started with the two European workshops: EuroGP'98, held in Paris
in April 1998, and EuroGP'99, held in Gothenburg in May 1999.
EuroGP 2000 was held in conjunction with EvoWo- shops 2000 (17th
April) and ICES 2000 (17th-19th April). Genetic Programming (GP) is
a growing branch of Evolutionary Compu- tion in which the
structures in the population being evolved are computer p- grams.
GP has been applied successfully to a large number of di?cult
problems like automatic design, pattern recognition, robotic
control, synthesis of neural networks, symbolic regression, music
and picture generation, biomedical app- cations, etc. In recent
years,even human-competitive results have been achieved by a number
of groups. EuroGP 2000, the ?rst evolutionary computation
conference of the new m- lennium, was the biggest event devoted to
genetic programming to be held in Europe in 2000. It was a high
quality conference where state-of-the-art work on the theory of GP
and applications of GP to real world problems was presented.
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Genetic Programming - Second European Workshop, EuroGP'99, Goeteborg, Sweden, May 26-27, 1999, Proceedings (Paperback, 1999 ed.)
Riccardo Poli, Peter Nordin, William B. Langdon, Terence C. Fogarty
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R1,660
Discovery Miles 16 600
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the Second European Workshop on Genetic Programming, EuroPG '99, held in Göteborg, Sweden in May 1999.The 12 revised full papers and 11 posters presented have been carefully reviewed and selected for inclusion in the book. All the relevant aspects of genetic programming are addressed ranging from traditional and foundational issues to applications in a variety of fields.
Since the early 1990s, genetic programming (GP) a discipline whose
goal is to enable the automatic generation of computer programs has
emerged as one of the most promising paradigms for fast, productive
software development. GP combines biological metaphors gleaned from
Darwin's theory of evolution with computer-science approaches drawn
from the field of machine learning to create programs that are
capable of adapting or recreating themselves for open-ended tasks.
This unique introduction to GP provides a detailed overview of the
subject and its antecedents, with extensive references to the
published and online literature. In addition to explaining the
fundamental theory and important algorithms, the text includes
practical discussions covering a wealth of potential applications
and real-world implementation techniques. Software professionals
needing to understand and apply GP concepts will find this book an
invaluable practical and theoretical guide."
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