Genetic Programming: 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29, 2011, Proceedings

by Sara Silva (Editor), James A. Foster (Editor), Miguel Nicolau (Editor), Penousal Machado (Editor), Mario Giacobini (Editor)

Overview

This book constitutes the refereed proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, held in Torino, Italy, in April 2011 co-located with the Evo* 2011 events.
This 20 revised full papers presented together with 9 poster papers were carefully reviewed and selected from 59 submissions. The wide range of topics in this volume reflect the current state of research in the field, including representations, theory, novel operators and techniques, self organization, and applications.

Product Details

ISBN-13:	9783642204067
Publisher:	Springer Berlin Heidelberg
Publication date:	06/28/2011
Series:	Lecture Notes in Computer Science , #6621
Edition description:	2011
Pages:	348
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Oral Presentations

A Sniffer Technique for an Efficient Deduction of Model Dynamical Equations Using Genetic Programming Dilip P. Ahalpara Abhijit Sen 1

Robustness, Evolvability, and Accessibility in Linear Genetic Programming Ting Hu Joshua L. Payne Wolfgang Banzhaf Jason H. Moore 13

A Quantitative Study of Learning and Generalization in Genetic Programming Mauro Castelli Luca Manzoni Sara Silva Leonardo Vanneschi 25

GP-Based Electricity Price Forecasting Alberto Bartoli Giorgio Davanzo Andrea De Lorenzo Eric Medvet 37

Novel Loop Structures and the Evolution of Mathematical Algorithms Mingxu Wan Thomas Weise Ke Tang 49

Maximum Margin Decision Surfaces for Increased Generalisation in Evolutionary Decision Tree Learning Alexandros Agapitos Michael O'Neill Anthony Brabazon Theodoros Theodoridis 61

Evolving Cell Array Configurations Using CGP Paul Bremner Mohammad Samie Gabriel Dragffy Anthony G. Pipe Yang Liu 73

Designing Pheromone Update Strategies with Strongly Typed Genetic Programming Jorge Tavares Francisco B. Pereira 85

Random Lines: A Novel Population Set-Based Evolutionary Global Optimization Algorithm Ismet Sahin 97

A Peer-to-Peer Approach to Genetic Programming Juan Luis Jiménez Laredo Daniel Lombraña González Francisco Fernández de Vega Maribel García Arenas Juan Julián Merelo Guervós 108

Performance Models for Evolutionary Program Induction Algorithms Based on Problem Difficulty Indicators Mario Graff Riccardo Poli 118

Examining Mutation Landscapes in Grammar Based Genetic Programming Eoin Murphy Michael O'Neill Anthony Brabazon 130

ReNCoDe: A Regulatory Network Computational Device Rui L. Lopes Ernesto Costa 142

Statistical Distribution of Generation-to-Success in GP: Application to Model Accumulated Success Probability David F. Barrero Bonifacio Castaño María D. R-Moreno David Camacho 154

Learnable Embeddings of Program Spaces Krzysztof Krawiec 166

Parallel Linear Genetic Programming Carlton Downey Mengjie Zhang 178

How Far Is It From Here to There? A Distance That Is Coherent with GP Operators James McDermott Una-May O'Reilly Leonardo Vanneschi Kalyan Veeramachaneni 190

Evolution of a Brain-Computer Interface Mouse via Genetic Programming Riccardo Poli Mathew Salvaris Caterina Cinel 203

Operator Self-adaptation in Genetic Programming Min Hyeok Kim Robert Ian (Bob) McKay Nguyen Xuan Hoai Kangil Kim 215

Evolving Fitness Functions for Mating Selection Penousal Machado António Leitão 227

Posters

Experiments on Islands Michael Harwerth 239

A New Approach to Solving 0-1 Multiconstraint Knapsack Problems Using Attribute Grammar with Lookahead Muhammad Rezaul Karim Conor Ryan 250

An Empirical Study of Functional Complexity as an Indicator of Overfitting in Genetic Programming Leonardo Trujillo Sara Silva Pierrick Legrand Leonardo Vanneschi 262

Estimating Classifier Performance with Genetic Programming Leonardo Trujillo Yuliana Martínez Patricia Melin 274

Investigation of the Performance of Different Mapping Orders for GE on the Max Problem David Fagan Miguel Nicolau Erik Hemberg Michael O'Neill Anthony Brabazon Sean McGarraghy 286

A Self-scaling Instruction Generator Using Cartesian Genetic Programming Yang Liu Gianluca Tempesti James A. Walker Jon Timmis Andrew M. Tyrrell Paul Bremner 298

Exploring Grammatical Modification with Modules in Grammatical Evolution John Mark Swafford Michael O'Neill Miguel Nicolau Anthony Brabazon 310

Multi-objective Genetic Programming for Visual Analytics Ilknur Icke Andrew Rosenberg 322

A Continuous Approach to Genetic Programming Cyril Fonlupt Denis Robilliard 335

Author Index 347