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E-grāmata: Genetic Programming: 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008, Proceedings

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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 4971
  • Izdošanas datums: 03-Apr-2008
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783540786719
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Genetic Programming: 11th European Conference, EuroGP 2008, Naples, Italy, March 26-28, 2008, ProceedingsPalielināt
  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 4971
  • Izdošanas datums: 03-Apr-2008
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783540786719
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The 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.
Oral 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 Programmings 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.
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