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.
Author(s): Riccardo Poli, W. B. Langdon (auth.), Wolfgang Banzhaf, Riccardo Poli, Marc Schoenauer, Terence C. Fogarty (eds.)
Series: Lecture Notes in Computer Science 1391
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1998
Language: English
Pages: 238
Tags: Programming Techniques; Computation by Abstract Devices; Pattern Recognition; Computer Appl. in Life Sciences
A review of theoretical and experimental results on schemata in genetic programming....Pages 1-15
Where does the good stuff go, and why? how contextual semantics influences program structure in simple genetic programming....Pages 16-36
Fitness causes bloat: Mutation....Pages 37-48
Concepts of inductive genetic programming....Pages 49-59
Immediate transfer of global improvements to all individuals in a population compared to automatically defined functions for the EVEN-5,6-PARITY problems....Pages 60-70
Non-destructive depth-dependent crossover for genetic programming....Pages 71-82
Grammatical evolution: Evolving programs for an arbitrary language....Pages 83-96
Genetic programming bloat with dynamic fitness....Pages 97-112
Speech sound discrimination with genetic programming....Pages 113-129
Efficient evolution of asymmetric recurrent neural networks using a PDGP-inspired two-dimensional representation....Pages 130-141
A cellular-programming approach to pattern classification....Pages 142-150
Evolving coupled map lattices for computation....Pages 151-162
Genetic programming for automatic design of self-adaptive robots....Pages 163-177
Genetic modelling of customer retention....Pages 178-186
An evolutionary hybrid metaheuristic for solving the vehicle routing problem with heterogeneous fleet....Pages 187-195
Building a genetic programming framework: The added-value of design patterns....Pages 196-208
Evolutionary computation and the tinkerer’s evolving toolbox....Pages 209-219
A dynamic lattice to envolve hierarchically shared subroutines....Pages 220-232
