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
