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Genetic Programming: European Conference, EuroGP 2000 Edinburgh, Scotland, UK, April 15-16, 2000 Proceedings (Lecture Notes in Computer Science, 1802)

معرفی کتاب «Genetic Programming: European Conference, EuroGP 2000 Edinburgh, Scotland, UK, April 15-16, 2000 Proceedings (Lecture Notes in Computer Science, 1802)» نوشتهٔ Paul Albuquerque, Bastien Chopard, Christian Mazza, Marco Tomassini (auth.), Riccardo Poli, Wolfgang Banzhaf, William B. Langdon, Julian Miller, Peter Nordin, Terence C. Fogarty (eds.)، منتشرشده توسط نشر Springer-Verlag Berlin Heidelberg در سال 1802. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

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. Front Matter....Pages - On the Impact of the Representation on Fitness Landscapes....Pages 1-15 The Legion System: A Novel Approach to Evolving Heterogeneity for Collective Problem Solving....Pages 16-28 Metric Based Evolutionary Algorithms....Pages 29-43 Register Based Genetic Programming on FPGA Computing Platforms....Pages 44-59 An Extrinsic Function-Level Evolvable Hardware Approach....Pages 60-75 Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff – Introductory Investigations....Pages 76-90 Evolution of a Controller with a Free Variable Using Genetic Programming....Pages 91-105 Genetic Programming for Service Creation in Intelligent Networks....Pages 106-120 Cartesian Genetic Programming....Pages 121-132 Some Probabilistic Modelling Ideas for Boolean Classification in Genetic Programming....Pages 133-148 Crossover in Grammatical Evolution: A Smooth Operator?....Pages 149-162 Hyperschema Theory for GP with One-Point Crossover, Building Blocks, and Some New Results in GA Theory....Pages 163-180 Use of Genetic Programming in the Identification of Rational Model Structures....Pages 181-192 Grammatical Retina Description with Enhanced Methods....Pages 193-208 Intraspecific Evolution of Learning by Genetic Programming....Pages 209-224 An Evolutionary Approach to Multiperiod Asset Allocation....Pages 225-236 Acquiring Textual Relations Automatically on the Web Using Genetic Programming....Pages 237-246 Application of Genetic Programming to Induction of Linear Classification Trees....Pages 247-258 A Metric for Genetic Programs and Fitness Sharing....Pages 259-270 Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters....Pages 271-282 Experimental Study of Multipopulation Parallel Genetic Programming....Pages 283-293 Genetic Programming and Simulated Annealing: A Hybrid Method to Evolve Decision Trees....Pages 294-303 Seeding Genetic Programming Populations....Pages 304-315 Distributed Java Bytecode Genetic Programming with Telecom Applications....Pages 316-325 Fighting Program Bloat with the Fractal Complexity Measure....Pages 326-337 Paragen – The First Results....Pages 338-348 Multi-robot Cooperation and Competition with Genetic Programming....Pages 349-360 Back Matter....Pages - 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 This book constitutes the refereed proceedings of the Third European Conference on Genetic Programming, EuroGP 2000, held in Scotland, UK, in April 2000. The 14 revised full papers presented together with 13 short papers were carefully reviewed and selected from a total of 39 submissions. All relevant aspects of genetic programming are addressed, ranging from theoretical and foundational issues to applications in a variety of fields such as automatic design, pattern recognition, robotic control, music and image processing, and symbolic regression. Genetic Programming comprises of proceedings of the 12th European Conference on Genetic Programming, EuroGP 2010. Topics include novel models, performance enhancements, extensions of genetic programming, and various applications. Genetic programming (GP) is a fast developing field which aims at evolving a population of computer codes towards a program that solves a given problem [Koz92].
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