LEADER 06726nam 22008055 450 001 996465673503316 005 20230406033354.0 024 7 $a10.1007/b107383 035 $a(CKB)1000000000212906 035 $a(SSID)ssj0000317918 035 $a(PQKBManifestationID)11253097 035 $a(PQKBTitleCode)TC0000317918 035 $a(PQKBWorkID)10308697 035 $a(PQKB)11642785 035 $a(DE-He213)978-3-540-31989-4 035 $a(MiAaPQ)EBC3067811 035 $a(PPN)123093643 035 $a(EXLCZ)991000000000212906 100 $a20100712d2005 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGenetic Programming$b[electronic resource] $e8th European Conference, EuroGP 2005, Lausanne, Switzerland, March 30-April 1, 2005, Proceedings /$fedited by Maarten Keijzer, Andrea Tettamanzi, Pierre Collet, Jano van Hemert, Marco Tomassini 205 $a1st ed. 2005. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005. 215 $a1 online resource (XIV, 390 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v3447 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-31989-1 311 $a3-540-25436-6 320 $aIncludes bibliographical references and index. 327 $aTalks -- An Algorithmic Chemistry for Genetic Programming -- Assessing the Effectiveness of Incorporating Knowledge in an Evolutionary Concept Learner -- Automated Re-invention of a Previously Patented Optical Lens System Using Genetic Programming -- Bayesian Automatic Programming -- Dynamic Size Populations in Distributed Genetic Programming -- Evolution of Robot Controller Using Cartesian Genetic Programming -- Evolving L-Systems to Capture Protein Structure Native Conformations -- Evolving Rules for Document Classification -- Genetic Programming in Wireless Sensor Networks -- Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Duplication Operator -- GP-EndChess: Using Genetic Programming to Evolve Chess Endgame Players -- GP-Gammon: Using Genetic Programming to Evolve Backgammon Players -- GP-Robocode: Using Genetic Programming to Evolve Robocode Players -- Incorporating Learning Probabilistic Context-Sensitive Grammar in Genetic Programming for Efficient Evolution and Adaptation of Snakebot -- Multi-logic-Unit Processor: A Combinational Logic Circuit Evaluation Engine for Genetic Parallel Programming -- Operator-Based Distance for Genetic Programming: Subtree Crossover Distance -- Repeated Patterns in Tree Genetic Programming -- Tarpeian Bloat Control and Generalization Accuracy -- The Tree-String Problem: An Artificial Domain for Structure and Content Search -- Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems -- Posters -- Context-Based Repeated Sequences in Linear Genetic Programming -- Evolution of a Strategy for Ship Guidance Using Two Implementations of Genetic Programming -- Evolution of Vertex and Pixel Shaders -- Evolve Schema Directly Using Instruction Matrix Based Genetic Programming -- Evolving Defence Strategies by Genetic Programming -- Extending Particle Swarm Optimisation via Genetic Programming -- Inducing Diverse Decision Forests with Genetic Programming -- mGGA: The meta-Grammar Genetic Algorithm -- On Prediction of Epileptic Seizures by Computing Multiple Genetic Programming Artificial Features -- Relative Fitness and Absolute Fitness for Co-evolutionary Systems -- Teams of Genetic Predictors for Inverse Problem Solving -- Understanding Evolved Genetic Programs for a Real World Object Detection Problem -- Undirected Training of Run Transferable Libraries -- Zero Is Not a Four Letter Word: Studies in the Evolution of Language. 330 $aIn this volume we present the contributions for the 18th European Conference on Genetic Programming (EuroGP 2005). The conference took place from 30 March to 1 April in Lausanne, Switzerland. EuroGP is a well-established conf- ence and the only one exclusively devoted to genetic programming. All previous proceedings were published by Springer in the LNCS series. From the outset, EuroGP has been co-located with the EvoWorkshops focusing on applications of evolutionary computation. Since 2004, EvoCOP, the conference on evolutionary combinatorial optimization, has also been co-located with EuroGP, making this year?s combined events one of the largest dedicated to evolutionary computation in Europe. Genetic programming (GP) is evolutionary computation that solves complex problems or tasks by evolving and adapting a population of computer programs, using Darwinian evolution and Mendelian genetics as its sources of inspiration. Some of the 34 papers included in these proceedings address foundational and theoretical issues and there is also a wide variety of papers dealing with di?erent application areas, such as computer science, engineering, language processing, biology and computational design, demonstrating that GP is a powerful and practical problem-solving paradigm. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v3447 606 $aComputer programming 606 $aComputer science 606 $aAlgorithms 606 $aArtificial intelligence 606 $aPattern recognition systems 606 $aBioinformatics 606 $aProgramming Techniques 606 $aTheory of Computation 606 $aAlgorithms 606 $aArtificial Intelligence 606 $aAutomated Pattern Recognition 606 $aComputational and Systems Biology 615 0$aComputer programming. 615 0$aComputer science. 615 0$aAlgorithms. 615 0$aArtificial intelligence. 615 0$aPattern recognition systems. 615 0$aBioinformatics. 615 14$aProgramming Techniques. 615 24$aTheory of Computation. 615 24$aAlgorithms. 615 24$aArtificial Intelligence. 615 24$aAutomated Pattern Recognition. 615 24$aComputational and Systems Biology. 676 $a005.1 702 $aKeijzer$b Maarten$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTettamanzi$b Andrea$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCollet$b Pierre$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $avan Hemert$b Jano$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTomassini$b Marco$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465673503316 996 $aGenetic Programming$9772374 997 $aUNISA