Genetic Programming European Conference, EuroGP 2000 Edinburgh, Scotland, UK, April 15-16, 2000 Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Poli, Riccardo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Banzhaf, Wolfgang (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Langdon, William B. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Miller, Julian F. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Nordin, Peter (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Fogarty, Terence C. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000.
• Έκδοση: 1st ed. 2000.
• Σειρά: Lecture Notes in Computer Science, 1802
• Θέματα: Artificial intelligence.; Medicine.; Computer programming.; Computers.; Pattern recognition.; Bioinformatics .; Computational biology .; Artificial Intelligence.; Medicine/Public Health, general.; Programming Techniques.; Computation by Abstract Devices.; Pattern Recognition.; Computer Appl. in Life Sciences.

 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. 

 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.