Genetic Programming : 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007, Proceedings / edited by Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Isabel Esparcia-Alcázar.

Format:

Book

Contributor:

Ebner, Marc, editor.

O'Neill, Michael, editor.

Ekart, Anikó, editor.

Vanneschi, Leonardo, editor.

Esparcia-Alcázar, Anna Isabel, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 4445.

Theoretical Computer Science and General Issues ; 4445

Language:

English

Subjects (All):

Software engineering.

Computer programming.

Computers.

Algorithms.

Pattern perception.

Artificial intelligence.

Software Engineering/Programming and Operating Systems.

Programming Techniques.

Computation by Abstract Devices.

Algorithm Analysis and Problem Complexity.

Pattern Recognition.

Artificial Intelligence.

Local Subjects:

Software Engineering/Programming and Operating Systems.

Programming Techniques.

Computation by Abstract Devices.

Algorithm Analysis and Problem Complexity.

Pattern Recognition.

Artificial Intelligence.

Physical Description:

1 online resource (XI, 382 pages).

Edition:

First edition 2007.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

System Details:

text file PDF

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-540-71605-1

9783540716051

Access Restriction:

Restricted for use by site license.