E. D. Jong, R. A. Watson, and J. B. Pollack, Reducing bloat and promoting diversity using multi-objective methods, Proceedings of the Genetic and Evolutionary Computation Conference, pp.11-18, 2001.

K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan, A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II, Parallel Problem Solving from Nature PPSN VI, pp.849-858, 2000.

J. Handl, S. C. Lovell, and J. Knowles, Multiobjectivization by Decomposition of Scalar Cost Functions, Parallel Problem Solving from Nature ? PPSN X, pp.31-40, 2008.

J. Kodjabachian and J. Meyer, Evolution and development of neural controllers for locomotion, gradient-following, and obstacle-avoidance in artificial insects, IEEE Transactions on Neural Networks, vol.9, issue.5, pp.796-812, 1998.
URL : https://hal.archives-ouvertes.fr/hal-01184992

J. B. Mouret and S. Doncieux, Incremental Evolution of Animats? Behaviors as a Multi-objective Optimization, Lecture Notes in Computer Science, vol.10, pp.210-219
URL : https://hal.archives-ouvertes.fr/hal-00687647