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[null,null,"Titolo",null,"Genetic Programming [[electronic resource] ] : 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"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000"]
[null,null,"ISBN",null,"3-540-46239-2"]
[null,null,"Edizione",null,"[1st ed. 2000.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 361 p.)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 0302-9743 ; ; 1802"]
[null,null,"Disciplina",null,"006.3/1"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Medicine"]
[{"$nulls":4},"Computer programming"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Pattern recognition"]
[{"$nulls":4},"Bioinformatics "]
[{"$nulls":4},"Computational biology "]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Medicine/Public Health, general"]
[{"$nulls":4},"Programming Techniques"]
[{"$nulls":4},"Computation by Abstract Devices"]
[{"$nulls":4},"Pattern Recognition"]
[{"$nulls":4},"Computer Appl. in Life Sciences"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"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."]
[null,null,null,"Sommario/riassunto","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."]