LEADER 05544nam 22008295 450 001 9910767563603321 005 20251226203526.0 010 $a3-540-71605-X 024 7 $a10.1007/978-3-540-71605-1 035 $a(CKB)1000000000490607 035 $a(SSID)ssj0000317915 035 $a(PQKBManifestationID)11231710 035 $a(PQKBTitleCode)TC0000317915 035 $a(PQKBWorkID)10307296 035 $a(PQKB)10289801 035 $a(DE-He213)978-3-540-71605-1 035 $a(MiAaPQ)EBC3068330 035 $a(PPN)123161444 035 $a(BIP)32374434 035 $a(BIP)14225182 035 $a(EXLCZ)991000000000490607 100 $a20100301d2007 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGenetic Programming $e10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007, Proceedings /$fedited by Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Isabel Esparcia-Alcázar 205 $a1st ed. 2007. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007. 215 $a1 online resource (XI, 382 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4445 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-71602-5 320 $aIncludes bibliographical references and index. 327 $aPlenary Talks -- A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms -- An Empirical Boosting Scheme for ROC-Based Genetic Programming Classifiers -- Confidence Intervals for Computational Effort Comparisons -- Crossover Bias in Genetic Programming -- Density Estimation with Genetic Programming for Inverse Problem Solving -- Empirical Analysis of GP Tree-Fragments -- Empirical Comparison of Evolutionary Representations of the Inverse Problem for Iterated Function Systems -- Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess -- Fast Genetic Programming on GPUs -- FIFTHTM: A Stack Based GP Language for Vector Processing -- Genetic Programming with Fitness Based on Model Checking -- Geometric Particle Swarm Optimisation -- GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions -- Layered Learning in Boolean GP Problems -- Mining Distributed Evolving Data Streams Using Fractal GP Ensembles -- Multi-objective Genetic Programming for Improving the Performance of TCP -- On Population Size and Neutrality: Facilitating the Evolution of Evolvability -- On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming -- Predicting Prime Numbers Using Cartesian Genetic Programming -- Real-Time, Non-intrusive Evaluation of VoIP -- Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach -- Posters -- A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds -- Analysing the Regularity of Genomes Using Compression and Expression Simplification -- Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming -- Code Regulation in Open Ended Evolution -- Data Mining of Genetic Programming Run Logs -- Evolving a Statistics Class Using Object Oriented Evolutionary Programming -- Evolving Modular Recursive Sorting Algorithms -- Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP -- Genetic Programming Heuristics for Multiple Machine Scheduling -- Group-Foraging with Particle Swarms and Genetic Programming -- Multiple Interactive Outputs in a Single Tree: An Empirical Investigation -- Parsimony Doesn?t Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data -- The Holland Broadcast Language and the Modeling of Biochemical Networks -- The Induction of Finite Transducers Using Genetic Programming. 330 $aThis book constitutes the refereed proceedings of the 10th European Conference on Genetic Programming, EuroGP 2007, held in Valencia, Spain in April 2007 colocated with EvoCOP 2007. The 21 revised plenary papers and 14 revised poster papers were carefully reviewed and selected from 71 submissions. The papers address fundamental and theoretical issues, along with a wide variety of papers dealing with different application areas. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4445 606 $aSoftware engineering 606 $aComputer programming 606 $aComputer science 606 $aAlgorithms 606 $aPattern recognition systems 606 $aArtificial intelligence 606 $aSoftware Engineering 606 $aProgramming Techniques 606 $aTheory of Computation 606 $aAlgorithms 606 $aAutomated Pattern Recognition 606 $aArtificial Intelligence 615 0$aSoftware engineering. 615 0$aComputer programming. 615 0$aComputer science. 615 0$aAlgorithms. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence. 615 14$aSoftware Engineering. 615 24$aProgramming Techniques. 615 24$aTheory of Computation. 615 24$aAlgorithms. 615 24$aAutomated Pattern Recognition. 615 24$aArtificial Intelligence. 676 $a005.1 701 $aEbner$b Marc$01753888 712 12$aEuroGP 2007 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910767563603321 996 $aGenetic programming$94189949 997 $aUNINA