E. Alpaydin, Introduction to machine learning, 2004.

R. Barate and A. Manzanera, Generalization performance of vision based controllers for mobile robots evolved with genetic programming, Proceedings of the 10th annual conference on Genetic and evolutionary computation, GECCO '08, 2008.
DOI : 10.1145/1389095.1389349

URL : https://hal.archives-ouvertes.fr/hal-01222613

A. Berlanga, A. Sanchis, P. Isasi, and J. Molina, Neural Network Controller against Environment: A Coevolutive approach to Generalize Robot Navigation Behavior, Journal of Intelligent and Robotic Systems, pp.139-166, 2002.

T. Bersano-begey and J. Daida, A discussion on generality and robustness and a framework for fitness set construction in genetic programming to promote robustness, Proc. of GP, 1997.

M. Birattari, T. Stutzle, L. Paquete, and K. Varrentrapp, A racing algorithm for configuring metaheuristics, Proc. of GECCO, 2002.

J. Bongard, Morphological change in machines accelerates the evolution of robust behavior, Proceedings of the National Academy of Sciences, vol.108, issue.4, pp.1234-1239, 2011.
DOI : 10.1073/pnas.1015390108

J. Bongard and G. Hornby, Guarding against premature convergence while accelerating evolutionary search, Proceedings of the 12th annual conference on Genetic and evolutionary computation, GECCO '10, 2010.
DOI : 10.1145/1830483.1830504

T. S. Braver, J. D. Cohen, and D. Servan-schreiber, A computational model of prefrontal cortex function, NIPS, pp.141-148, 1995.

L. T. Bui, H. Abbass, and J. Branke, Multiobjective optimization for dynamic environments, Proc. of IEEE CEC, 2005.

K. Deb, Multi-objective optimization using evolutionary algorithms, 2001.

E. and D. Paolo, Homeostatic adaptation to inversion of the visual field and other sensorimotor disruptions, From Animals to Animats 6: Proc. of SAB, 2000.

S. Doncieux and J. Mouret, Behavioral diversity measures for Evolutionary Robotics, IEEE Congress on Evolutionary Computation, 2010.
DOI : 10.1109/CEC.2010.5586100

URL : https://hal.archives-ouvertes.fr/hal-00687641

D. Floreano and J. Urzelai, Evolution of plastic control networks, Autonomous Robots, vol.11, issue.3, pp.311-317, 2001.
DOI : 10.1023/A:1012459627968

C. Gagné and M. Schoenauer, Genetic Programming, Validation Sets, and Parsimony Pressure, Genetic Programming, pp.109-120, 2006.
DOI : 10.1007/11729976_10

V. Heidrich-meisner and C. Igel, Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, 2009.
DOI : 10.1145/1553374.1553426

T. Hemker, H. Sakamoto, M. Stelzer, and O. Stryk, Hardware-in-the-loop optimization of the walking speed of a humanoid robot, Proc. of CLAWAR, 2006.

N. Jakobi, Evolutionary Robotics and the Radical Envelope-of-Noise Hypothesis, Adaptive Behavior, vol.161, issue.4, pp.325-368, 1997.
DOI : 10.1177/105971239700600205

N. Jakobi, P. Husbands, I. Harvey-]-t, A. Kondo, S. Ishiguro et al., Noise and the reality gap: The use of simulation in evolutionary robotics Advances in Artificial Life Realization of robust controllers in evolutionary robotics: a dynamically-rearranging neural network approach, Proc. of IEEE CEC, pp.704-720, 1995.

S. Koos, J. Mouret, and S. Doncieux, Crossing the reality gap in evolutionary robotics by promoting transferable controllers, Proceedings of the 12th annual conference on Genetic and evolutionary computation, GECCO '10, 2010.
DOI : 10.1145/1830483.1830505

URL : https://hal.archives-ouvertes.fr/hal-00633927

J. Lehman and K. O. Stanley, Abandoning Objectives: Evolution Through the Search for Novelty Alone, Evolutionary Computation, vol.7, issue.3, pp.1-34, 2010.
DOI : 10.1016/0165-6074(93)90215-7

J. H. Maes, B. M. Bouwman, and J. M. Vossen, Effects of d-amphetamine on the performance of rats in an animal analogue of the A-X Continuous Performance Test, Journal of Psychopharmacology, vol.23, issue.1, pp.23-28, 2001.
DOI : 10.1177/026988110101500105

J. Meyer, P. Husbands, and I. Harvey, Evolutionary robotics: A survey of applications and problems, Evolutionary Robotics, pp.1-22, 1998.
DOI : 10.1007/3-540-64957-3_61

O. Miglino, H. H. Lund, and S. Nolfi, Evolving Mobile Robots in Simulated and Real Environments, Artificial Life, vol.2, issue.4, pp.417-434, 1995.
DOI : 10.1177/105971239400300102

J. Mouret and S. Doncieux, Using behavioral exploration objectives to solve deceptive problems in neuro-evolution, Proceedings of the 11th Annual conference on Genetic and evolutionary computation, GECCO '09, 2009.
DOI : 10.1145/1569901.1569988

URL : https://hal.archives-ouvertes.fr/hal-00473132

J. Mouret and S. Doncieux, Sferes v2: Evolvin' in the multi-core world, Proc. of IEEE CEC, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00687633

T. G. Mueller, N. B. Pusuluri, K. K. Mathias, P. L. Cornelius, R. I. Barnhisel et al., Map Quality for Ordinary Kriging and Inverse Distance Weighted Interpolation, Soil Science Society of America Journal, vol.68, issue.6, pp.682042-2047, 2004.
DOI : 10.2136/sssaj2004.2042

S. Nolfi and D. Floreano, Evolutionary Robotics, 2000.
DOI : 10.1007/978-3-319-32552-1_76

L. Panait, Methods for Evolving Robust Programs, Proc. of GECCO, 2003.
DOI : 10.1007/3-540-45110-2_66

T. Pinville and S. Doncieux, Automatic Synthesis of Working memory neural networks with neuroevolution methods, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00553407

A. Ratle, Accelerating the convergence of evolutionary algorithms by fitness landscape approximation, Proc. of PPSN, 1998.
DOI : 10.1007/BFb0056852

C. Reynolds, Evolution of corridor following behavior in a noisy world, From Animals to Animats 3: Proc. of SAB, 1994.

R. M. Rylatt and C. A. Czarnecki, Embedding Connectionist Autonomous Agents in Time: The 'Road Sign Problem'. Neural Processing Letters, pp.145-158, 2000.

D. Shepard, A two-dimensional interpolation function for irregularly-spaced data, Proceedings of the 1968 23rd ACM national conference on -, 1968.
DOI : 10.1145/800186.810616

K. O. Stanley and R. Miikkulainen, Evolving Neural Networks through Augmenting Topologies, Evolutionary Computation, vol.7, issue.2, pp.99-127, 2002.
DOI : 10.1016/S0096-3003(97)10005-4

A. Voutchkov and I. Keane, Multi-Objective Optimization Using Surrogates, Computational Intelligence in Optimization, pp.155-175, 2010.
DOI : 10.1007/978-3-642-12775-5_7

T. Ziemke and M. Thieme, Neuromodulation of Reactive Sensorimotor Mappings as a Short-Term Memory Mechanism in Delayed Response Tasks, Adaptive Behavior, vol.10, pp.3-4185, 2002.