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020 _a9783540786719
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024 7 _a10.1007/978-3-540-78671-9
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072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
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072 7 _aUMZ
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082 0 4 _a005.1
_223
245 1 0 _aGenetic Programming
_h[electronic resource] :
_b11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008, Proceedings /
_cedited by Michael O'Neill, Leonardo Vanneschi, Steven Gustafson, Anna Isabel Esparcia Alcázar, Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino.
250 _a1st ed. 2008.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2008.
300 _aXI, 375 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v4971
505 0 _aOral Presentations -- Training Time and Team Composition Robustness in Evolved Multi-agent Systems -- Winning Ant Wars: Evolving a Human-Competitive Game Strategy Using Fitnessless Selection -- In Silicon No One Can Hear You Scream: Evolving Fighting Creatures -- Real-Time, Non-intrusive Speech Quality Estimation: A Signal-Based Model -- Good News: Using News Feeds with Genetic Programming to Predict Stock Prices -- A Genetic Programming Approach to Deriving the Spectral Sensitivity of an Optical System -- A SIMD Interpreter for Genetic Programming on GPU Graphics Cards -- Partitioned Incremental Evolution of Hardware Using Genetic Programming -- Population Parallel GP on the G80 GPU -- Operator Equalisation and Bloat Free GP -- Practical Model of Genetic Programming's Performance on Rational Symbolic Regression Problems -- Semantic Building Blocks in Genetic Programming -- A Simple Powerful Constraint for Genetic Programming -- Crossover, Sampling, Bloat and the Harmful Effects of Size Limits -- The Performance of a Selection Architecture for Genetic Programming -- A Comparison of Cartesian Genetic Programming and Linear Genetic Programming -- Evolvability Via Modularity-Induced Mutational Focussing -- A Linear Estimation-of-Distribution GP System -- Feature Discovery in Reinforcement Learning Using Genetic Programming -- Hardware Accelerators for Cartesian Genetic Programming -- Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems -- Posters -- Evolving Proactive Aggregation Protocols -- GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation -- Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution -- Cooperative Problem Decomposition in Pareto Competitive Classifier Models ofCoevolution -- Integrating Categorical Variables with Multiobjective Genetic Programming for Classifier Construction -- The Effects of Constant Neutrality on Performance and Problem Hardness in GP -- Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering -- PlasmidPL: A Plasmid-Inspired Language for Genetic Programming -- Using Genetic Programming for Turing Machine Induction -- Altering Search Rates of the Meta and Solution Grammars in the mGGA.
520 _aThe 11th European Conference on Genetic Programming, EuroGP 2008, took place in Naples, Italy from 26 to 28 March in the University of Naples Congress Centre with spectacular views over the Gulf of Naples. This volume contains the papers for the 21 oral presentations and 10 posters that were presented during this time. A diverse array of topics were covered re?ecting the current state of research in the ?eld of Genetic Programming, including the latest work on representations, theory, operators and analysis, evolvable hardware, agents and numerous applications. A rigorous, double-blind peer review process was employed, with each s- mission reviewed by at least three members of the international Program C- mittee. In total 61 papers were submitted this year, making an acceptance rate of 34% for full papers, and an overall acceptance rate of 51% including posters. S- mission of papers and the reviewing process were greatly assisted by the use of the MyReview management software originally developed by Philippe Rigaux, Bertrand Chardon and other colleagues from the Universit´e Paris-Sud Orsay, France. We are especially grateful to Marc Schoenauer from INRIA, France for managing this system. Reviewers were asked to nominate keywords specifying their area of expertise, and these keywords were matched to those selected by the authors of the submitted papers with the assistance of the optimal assignment feature of the conference management software.
650 0 _aSoftware engineering.
_94138
650 0 _aComputer programming.
_94169
650 0 _aComputer science.
_99832
650 0 _aAlgorithms.
_93390
650 0 _aArtificial intelligence.
_93407
650 0 _aPattern recognition systems.
_93953
650 1 4 _aSoftware Engineering.
_94138
650 2 4 _aProgramming Techniques.
_9132521
650 2 4 _aTheory of Computation.
_9132522
650 2 4 _aAlgorithms.
_93390
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aAutomated Pattern Recognition.
_931568
700 1 _aO'Neill, Michael.
_eeditor.
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_9132523
700 1 _aVanneschi, Leonardo.
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_9132524
700 1 _aGustafson, Steven.
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_9132525
700 1 _aEsparcia Alcázar, Anna Isabel.
_eeditor.
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_9132526
700 1 _aDe Falco, Ivanoe.
_eeditor.
_4edt
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_9132527
700 1 _aDella Cioppa, Antonio.
_eeditor.
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_9132528
700 1 _aTarantino, Ernesto.
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_9132529
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783540849391
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v4971
_9132531
856 4 0 _uhttps://doi.org/10.1007/978-3-540-78671-9
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