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ORCID8. EA 2007: Tours, France
- Nicolas Monmarché, El-Ghazali Talbi, Pierre Collet, Marc Schoenauer, Evelyne Lutton
:
Artificial Evolution, 8th International Conference, Evolution Artificielle, EA 2007, Tours, France, October 29-31, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4926, Springer 2008, ISBN 978-3-540-79304-5
Genetic Programming
- Luis E. Da Costa, Jacques-André Landry, Yan Levasseur:
Treating Noisy Data Sets with Relaxed Genetic Programming. 1-12 - Robert E. Keller, Riccardo Poli:
Cost-Benefit Investigation of a Genetic-Programming Hyperheuristic. 13-24 - Renaud Barate, Antoine Manzanera:
Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming. 25-36 - Mohamed Bahy Bader-El-Den, Riccardo Poli:
Generating SAT Local-Search Heuristics Using a GP Hyper-Heuristic Framework. 37-49
Swarm Intelligence
- Amir Nakib, Yann Cooren, Hamouche Oulhadj, Patrick Siarry:
Magnetic Resonance Image Segmentation Based on Two-Dimensional Exponential Entropy and a Parameter Free PSO. 50-61 - Paulo Urbano:
Mimetic Variations on Stigmergic Swarm Paintings. 62-72 - Nicolas Brodu:
Minimal and Necessary Conditions for the Emergence of Species-Specific Recognition Patterns. 73-86 - Sonia Colas, Nicolas Monmarché, Pierre Gaucher, Mohamed Slimane:
Artificial Ants for the Optimization of Virtual Keyboard Arrangement for Disabled People. 87-99
Combinational and Multi-objective Optimization
- Jean-Charles Créput, Abderrafiaa Koukam:
Self-organization and Evolution Combined to Address the Vehicle Routing Problem. 100-111 - Tim Hohm, Matthias Egli, Samuel Gaehwiler, Stefan Bleuler, Jonathan Feller, Damian Frick, Richard Huber, Mathias Karlsson, Reto Lingenhag, Thomas Ruetimann, Tom Sasse, Thomas Steiner, Janine Stocker, Eckart Zitzler:
An Evolutionary Algorithm for the Block Stacking Problem. 112-123 - Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz:
A Study of Evaluation Functions for the Graph K-Coloring Problem. 124-135 - Cédric Pessan, Jean-Louis Bouquard, Emmanuel Néron:
Genetic Branch-and-Bound or Exact Genetic Algorithm?. 136-147 - Windo Hutabarat, Geoffrey T. Parks, Jerome P. Jarrett, William N. Dawes, P. John Clarkson:
Aerodynamic Topology Optimisation Using an Implicit Representation and a Multiobjective Genetic Algorithm. 148-159 - Juraj Plavcan, Pavel Petrovic:
Direct and Indirect Representations for Evolutionary Design of Objects. 160-171 - Khoi Le, Dario Landa Silva:
Adaptive and Assortative Mating Scheme for Evolutionary Multi-Objective Algorithms. 172-183
Theory in GA and ES
- Gabriela Ochoa, Evelyne Lutton, Edmund K. Burke:
The Cooperative Royal Road: Avoiding Hitchhiking. 184-195 - Olivier Teytaud:
Conditioning, Halting Criteria and Choosing lambda. 196-206 - Mohamed Jebalia, Anne Auger, Pierre Liardet:
Log-Linear Convergence and Optimal Bounds for the (1+1)-ES. 207-218
Applications of EAs
- Riccardo Fanciulli, Lars Willmes, Janne Savolainen, Peter van der Walle, Thomas Bäck, Jennifer L. Herek:
Evolution Strategies for Laser Pulse Compression. 219-230 - Aurélie Bousquet, Jean Louchet, Jean-Marie Rocchisani:
Fully Three-Dimensional Tomographic Evolutionary Reconstruction in Nuclear Medicine. 231-242 - José Crispín Hernández Hernández, Béatrice Duval, Jin-Kao Hao:
A Study of Crossover Operators for Gene Selection of Microarray Data. 243-254 - Emmanuel Sapin, Larry Bull:
Searching for Glider Guns in Cellular Automata: Exploring Evolutionary and Other Techniques. 255-265 - Ender Özcan, Türker Erçal:
A Genetic Algorithm for Generating Improvised Music. 266-277 - Alexandre Devert, Nicolas Bredèche, Marc Schoenauer:
Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny. 278-290 - Guillaume Sandou, Stéphane Font, Sihem Tebbani, Arnaud Hiret, Christian Mondon:
Enhanced Genetic Algorithm with Guarantee of Feasibility for the Unit Commitment Problem. 291-302 - Jorge Maturana, Frédéric Saubion:
On the Design of Adaptive Control Strategies for Evolutionary Algorithms. 303-315 - Paul Pitiot, Thierry Coudert, Laurent Geneste, Claude Baron:
Improvement of Intelligent Optimization by an Experience Feedback Approach. 316-327
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