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Genetic Programming : European Conference, EuroGP 2000 Edinburgh, Scotland, UK, April 15-16, 2000 Proceedings / edited by Riccardo Poli, Wolfgang Banzhaf, William B. Langdon, Julian F. Miller, Peter Nordin, Terence C. Fogarty.
LIBRA Q341 .P7 2004
Available from offsite location
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science 0302-9743 ; 1802.
- Lecture Notes in Computer Science, 0302-9743 ; 1802
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Medicine.
- Computer programming.
- Computers.
- Pattern perception.
- Bioinformatics.
- Computational biology.
- Artificial Intelligence.
- Medicine/Public Health, general.
- Programming Techniques.
- Computation by Abstract Devices.
- Pattern Recognition.
- Computer Appl. in Life Sciences.
- Local Subjects:
- Artificial Intelligence.
- Medicine/Public Health, general.
- Programming Techniques.
- Computation by Abstract Devices.
- Pattern Recognition.
- Computer Appl. in Life Sciences.
- Physical Description:
- 1 online resource (X, 361 pages).
- Edition:
- First edition 2000.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
- System Details:
- text file PDF
- Summary:
- 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, et cetera 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.
- Contents:
- Talks
- On the Impact of the Representation on Fitness Landscapes
- The Legion System: A Novel Approach to Evolving Heterogeneity for Collective Problem Solving
- Metric Based Evolutionary Algorithms
- Register Based Genetic Programming on FPGA Computing Platforms
- An Extrinsic Function-Level Evolvable Hardware Approach
- Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff - Introductory Investigations
- Evolution of a Controller with a Free Variable Using Genetic Programming
- Genetic Programming for Service Creation in Intelligent Networks
- Cartesian Genetic Programming
- Some Probabilistic Modelling Ideas for Boolean Classification in Genetic Programming
- Crossover in Grammatical Evolution: A Smooth Operator?
- Hyperschema Theory for GP with One-Point Crossover, Building Blocks, and Some New Results in GA Theory
- Use of Genetic Programming in the Identification of Rational Model Structures
- Grammatical Retina Description with Enhanced Methods
- Posters
- Intraspecific Evolution of Learning by Genetic Programming
- An Evolutionary Approach to Multiperiod Asset Allocation
- Acquiring Textual Relations Automatically on the Web Using Genetic Programming
- Application of Genetic Programming to Induction of Linear Classification Trees
- A Metric for Genetic Programs and Fitness Sharing
- Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters
- Experimental Study of Multipopulation Parallel Genetic Programming
- Genetic Programming and Simulated Annealing: A Hybrid Method to Evolve Decision Trees
- Seeding Genetic Programming Populations
- Distributed Java Bytecode Genetic Programming with Telecom Applications
- Fighting Program Bloat with the Fractal Complexity Measure
- Paragen - The First Results
- Multi-robot Cooperation and Competition with Genetic Programming.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-46239-2
- 9783540462392
- Access Restriction:
- Restricted for use by site license.
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