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Genetic Programming : First European Workshop, EuroGP'98, Paris, France, April 14-15, 1998, Proceedings / edited by Wolfgang Banzhaf, Riccardo Poli, Marc Schoenauer, Terence C. Fogarty.

LIBRA Q341 .P7 2004
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Format:
Book
Contributor:
Banzhaf, Wolfgang, 1955- editor.
Poli, Riccardo, 1961- editor.
Schoenauer, Marc, editor.
Fogarty, Terence C., editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 1391.
Lecture Notes in Computer Science, 0302-9743 ; 1391
Language:
English
Subjects (All):
Software engineering.
Artificial intelligence.
Computer programming.
Computers.
Pattern perception.
Bioinformatics.
Computational biology.
Software Engineering/Programming and Operating Systems.
Artificial Intelligence.
Programming Techniques.
Computation by Abstract Devices.
Pattern Recognition.
Computer Appl. in Life Sciences.
Local Subjects:
Software Engineering/Programming and Operating Systems.
Artificial Intelligence.
Programming Techniques.
Computation by Abstract Devices.
Pattern Recognition.
Computer Appl. in Life Sciences.
Physical Description:
1 online resource (X, 238 pages).
Edition:
First edition 1998.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1998.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the First European Workshop on Genetic Programming, EuroGP'98, held in Paris, France, in April 1998, under the sponsorship of EvoNet, the European Network of Excellence in Evolutionary Computing. The volume presents 12 revised full papers and 10 short presentations carefully selected for inclusion in the book. The papers are organized in topical sections on experimental and theoretical studies; algorithms, representations and operators; and applications.
Contents:
A review of theoretical and experimental results on schemata in genetic programming
Where does the good stuff go, and why? how contextual semantics influences program structure in simple genetic programming
Fitness causes bloat: Mutation
Concepts of inductive genetic programming
Immediate transfer of global improvements to all individuals in a population compared to automatically defined functions for the EVEN-5,6-PARITY problems
Non-destructive depth-dependent crossover for genetic programming
Grammatical evolution: Evolving programs for an arbitrary language
Genetic programming bloat with dynamic fitness
Speech sound discrimination with genetic programming
Efficient evolution of asymmetric recurrent neural networks using a PDGP-inspired two-dimensional representation
A cellular-programming approach to pattern classification
Evolving coupled map lattices for computation
Genetic programming for automatic design of self-adaptive robots
Genetic modelling of customer retention
An evolutionary hybrid metaheuristic for solving the vehicle routing problem with heterogeneous fleet
Building a genetic programming framework: The added-value of design patterns
Evolutionary computation and the tinkerer's evolving toolbox
A dynamic lattice to envolve hierarchically shared subroutines.
Other Format:
Printed edition:
ISBN:
978-3-540-69758-9
9783540697589
Access Restriction:
Restricted for use by site license.

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