Genetic Programming 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007. Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Ebner, Marc (Επιμελητής έκδοσης), O’Neill, Michael (Επιμελητής έκδοσης), Ekárt, Anikó (Επιμελητής έκδοσης), Vanneschi, Leonardo (Επιμελητής έκδοσης), Esparcia-Alcázar, Anna Isabel (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Lecture Notes in Computer Science, 4445
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Plenary 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.