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ORCID9. EuroGP 2006: Budapest, Hungary
- Pierre Collet, Marco Tomassini, Marc Ebner, Steven M. Gustafson, Anikó Ekárt:
Genetic Programming, 9th European Conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006, Proceedings. Lecture Notes in Computer Science 3905, Springer 2006, ISBN 3-540-33143-3 - Patrick LaRoche, Nur Zincir-Heywood
:
802.11 De-authentication Attack Detection Using Genetic Programming. 1-12 - Cyril De Fillon, Alberto Bartoli:
A Divide & Conquer Strategy for Improving Efficiency and Probability of Success in Genetic Programming. 13-23 - Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Ernesto Tarantino:
A Genetic Programming Approach to Solomonoff's Probabilistic Induction. 24-35 - Hammad Majeed, Conor Ryan:
A Less Destructive, Context-Aware Crossover Operator for GP. 36-48 - Jason B. Peltzer, Ankur Teredesai, Garrett Reinard:
AQUAGP: Approximate QUery Answers Using Genetic Programming. 49-60 - Alexandre Devert, Nicolas Bredèche, Marc Schoenauer:
Blindbuilder: A New Encoding to Evolve Lego-Like Structures. 61-72 - Domagoj Jakobovic, Leo Budin:
Dynamic Scheduling with Genetic Programming. 73-84 - Ivan Tanev:
Emergent Generality of Adapted Locomotion Gaits of Simulated Snake-Like Robot. 85-96 - Laura Diosan, Mihai Oltean:
Evolving Crossover Operators for Function Optimization. 97-108 - Christian Gagné, Marc Schoenauer, Marc Parizeau, Marco Tomassini:
Genetic Programming, Validation Sets, and Parsimony Pressure. 109-120 - Alberto Moraglio, Riccardo Poli, Rolv Seehuus:
Geometric Crossover for Biological Sequences. 121-132 - Edward P. K. Tsang, Nanlin Jin:
Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study. 133-144 - Marc Segond, Denis Robilliard, Cyril Fonlupt:
Iterative Filter Generation Using Genetic Programming. 145-153 - Jirí Kubalík, Jan Faigl:
Iterative Prototype Optimisation with Evolved Improvement Steps. 154-165 - Alexandros Agapitos, Simon M. Lucas:
Learning Recursive Functions with Object Oriented Genetic Programming. 166-177 - Leonardo Vanneschi, Marco Tomassini, Philippe Collard, Sébastien Vérel:
Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes. 178-189 - Huayang Xie, Mengjie Zhang, Peter Andreae:
Population Clustering in Genetic Programming. 190-201 - César Estébanez, José María Valls, Ricardo Aler:
Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks. 202-212 - Miguel Nicolau, Conor Ryan:
Solving Sudoku with the GAuGE System. 213-224 - William B. Langdon, Riccardo Poli:
The Halting Probability in Von Neumann Architectures. 225-237 - Leonardo Vanneschi, Steven M. Gustafson, Giancarlo Mauri:
Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics. 238-249
Posters
- Bart Wyns, Peter De Bruyne, Luc Boullart:
Characterizing Diversity in Genetic Programming. 250-259 - John R. Woodward:
Complexity and Cartesian Genetic Programming. 260-269 - Chien-Min Ou, Wen-Jyi Hwang, Hung-Chuan Yung:
Design of Robust Communication Systems Using Genetic Algorithms. 270-279 - Robert I. McKay, Tuan Hao Hoang, Daryl Leslie Essam, Nguyen Xuan Hoai:
Developmental Evaluation in Genetic Programming: The Preliminary Results. 280-289 - André Leier, P. Dwight Kuo, Wolfgang Banzhaf, Kevin Burrage:
Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks. 290-299 - Thomas Buchsbaum, Siegfried Vössner:
Information-Dependent Switching of Identification Criteria in a Genetic Programming System for System Identification. 300-309 - John R. Woodward:
Invariance of Function Complexity Under Primitive Recursive Functions. 310-319 - Franz Rothlauf, Marie Oetzel:
On the Locality of Grammatical Evolution. 320-330 - Raihan H. Kibria, You Li:
Optimizing the Initialization of Dynamic Decision Heuristics in DPLL SAT Solvers Using Genetic Programming. 331-340 - Gianluigi Folino, Giandomenico Spezzano:
P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems. 341-350 - Xinye Cai, Stephen L. Smith, Andy M. Tyrrell:
Positional Independence and Recombination in Cartesian Genetic Programming. 351-360
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