LEADER 06749nam 22008895 450 001 9910143633303321 005 20200702153040.0 010 $a3-540-46239-2 024 7 $a10.1007/b75085 035 $a(CKB)1000000000211235 035 $a(SSID)ssj0000323457 035 $a(PQKBManifestationID)11258075 035 $a(PQKBTitleCode)TC0000323457 035 $a(PQKBWorkID)10297247 035 $a(PQKB)10452591 035 $a(DE-He213)978-3-540-46239-2 035 $a(MiAaPQ)EBC3087908 035 $a(PPN)155237918 035 $a(EXLCZ)991000000000211235 100 $a20121227d2000 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGenetic Programming $eEuropean Conference, EuroGP 2000 Edinburgh, Scotland, UK, April 15-16, 2000 Proceedings /$fedited by Riccardo Poli, Wolfgang Banzhaf, William B. Langdon, Julian F. Miller, Peter Nordin, Terence C. Fogarty 205 $a1st ed. 2000. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2000. 215 $a1 online resource (X, 361 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v1802 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-67339-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aTalks -- 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. 330 $aThis volume contains the proceedings of EuroGP 2000, the European Conf- ence on Genetic Programming, held in Edinburgh on the 15th and 16th April 2000. This event was the third in a series which started with the two European workshops: EuroGP?98, held in Paris in April 1998, and EuroGP?99, held in Gothenburg in May 1999. EuroGP 2000 was held in conjunction with EvoWo- shops 2000 (17th April) and ICES 2000 (17th-19th April). Genetic Programming (GP) is a growing branch of Evolutionary Compu- tion in which the structures in the population being evolved are computer p- grams. GP has been applied successfully to a large number of di?cult problems like automatic design, pattern recognition, robotic control, synthesis of neural networks, symbolic regression, music and picture generation, biomedical app- cations, etc. In recent years,even human-competitive results have been achieved by a number of groups. EuroGP 2000, the ?rst evolutionary computation conference of the new m- lennium, was the biggest event devoted to genetic programming to be held in Europe in 2000. It was a high quality conference where state-of-the-art work on the theory of GP and applications of GP to real world problems was presented. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v1802 606 $aArtificial intelligence 606 $aMedicine 606 $aComputer programming 606 $aComputers 606 $aPattern recognition 606 $aBioinformatics  606 $aComputational biology  606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMedicine/Public Health, general$3https://scigraph.springernature.com/ontologies/product-market-codes/H00007 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aComputer Appl. in Life Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L17004 615 0$aArtificial intelligence. 615 0$aMedicine. 615 0$aComputer programming. 615 0$aComputers. 615 0$aPattern recognition. 615 0$aBioinformatics . 615 0$aComputational biology . 615 14$aArtificial Intelligence. 615 24$aMedicine/Public Health, general. 615 24$aProgramming Techniques. 615 24$aComputation by Abstract Devices. 615 24$aPattern Recognition. 615 24$aComputer Appl. in Life Sciences. 676 $a006.3/1 702 $aPoli$b Riccardo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBanzhaf$b Wolfgang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLangdon$b William B$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMiller$b Julian F$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNordin$b Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFogarty$b Terence C$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aEuropGP 2000 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910143633303321 996 $aGenetic Programming$9772374 997 $aUNINA