E. Bonabeau, M. Dorigo, and G. Theraulaz, Swarm intelligence, 1999.

M. Bonani, V. Longchamp, S. Magnenat, P. Rétornaz, D. Burnier et al., The marXbot, a miniature mobile robot opening new perspectives for the collective-robotic research, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.4187-4193, 2010.
DOI : 10.1109/IROS.2010.5649153

M. Brambilla, E. Ferrante, M. Birattari, and M. Dorigo, Swarm robotics: a review from the swarm engineering perspective, Swarm Intelligence, vol.2, issue.2???4, pp.1-41, 2013.
DOI : 10.1007/s11721-012-0075-2
URL : https://hal.archives-ouvertes.fr/hal-01405919

S. Camazine, Self-organization in biological systems, 2003.

R. Chadab, W. Carl, and . Rettenmeyer, Mass recruitment by army ants, Science, vol.188, issue.4193, pp.1124-1125, 1975.
DOI : 10.1126/science.1215991

S. Van-essche, E. Ferrante, A. E. Turgut, R. Van-lon, T. Holvoet et al., Environmental factors promoting the evolution of recruitment strategies in swarms of foraging robots. Supplementary materials, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01405907

E. Ferrante, A control architecture for a heterogeneous swarm of robots: The design of a modular behavior-based architecture, 2009.

E. Ferrante, E. Duéñez-guzmán, A. E. Turgut, and T. Wenseleers, GESwarm, Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, GECCO '13, pp.17-24, 2013.
DOI : 10.1145/2463372.2463385

E. Ferrante, A. E. Turgut, E. Duéñez-guzmán, M. Dorigo, and T. Wenseleers, Evolution of Self-Organized Task Specialization in Robot Swarms, PLOS Computational Biology, vol.23, issue.8, pp.11-1004273, 2015.
DOI : 10.1371/journal.pcbi.1004273.s009
URL : https://hal.archives-ouvertes.fr/hal-01378166

D. Floreano and . Nolfi, Evolutionary robotics. the biology, intelligence, and technology of selforganizing machines, 2001.

D. Floreano and L. Keller, Evolution of Adaptive Behaviour in Robots by Means of Darwinian Selection, PLoS Biology, vol.417, issue.1, p.1000292, 2010.
DOI : 10.1371/journal.pbio.1000292.s007

D. Floreano, S. Mitri, S. Magnenat, and L. Keller, Evolutionary Conditions for the Emergence of Communication in Robots, Current Biology, vol.17, issue.6, pp.514-519, 2007.
DOI : 10.1016/j.cub.2007.01.058

S. Garnier, M. Combe, C. Jost, and G. Theraulaz, Do Ants Need to Estimate the Geometrical Properties of Trail Bifurcations to Find an Efficient Route? A Swarm Robotics Test Bed, PLoS Computational Biology, vol.12, issue.3, p.1002903, 2013.
DOI : 10.1371/journal.pcbi.1002903.s001

D. Edward and G. , Genetic algorithms in search, optimization, and machine learning, 1989.

J. Halloy, G. Sempo, G. Caprari, C. Rivault, M. Asadpour et al., Social Integration of Robots into Groups of Cockroaches to Control Self-Organized Choices, Science, vol.318, issue.5853, pp.3181155-1158, 2007.
DOI : 10.1126/science.1144259
URL : https://hal.archives-ouvertes.fr/hal-01305605

H. John and . Holland, Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence, 1975.

M. J. Krieger, J. B. Billeter, and L. Keller, Antlike task allocation and recruitment in cooperative robots, Nature, vol.406, issue.6799, pp.992-997, 2000.

K. Letendre and M. E. Moses, Synergy in ant foraging strategies, Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, GECCO '13, pp.41-48, 2013.
DOI : 10.1145/2463372.2463389

M. Materlinck, The Life of the Bee, 2008.

J. Maynard-smith and E. Száthmary, The Major transitions in evolution, 1995.

R. E. Page-jr, T. A. Linksvayer, and G. V. Amdam, Social life from solitary regulatory networks: a new paradigm for insect sociality, 2009.

C. Pinciroli, V. Trianni, R. O. Grady, G. Pini, A. Brutschy et al., ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems, Swarm Intelligence, vol.2, issue.2, pp.271-295, 2012.
DOI : 10.1007/s11721-012-0072-5

C. Pinciroli, V. Trianni, R. Ogrady, G. Pini, A. Brutschy et al., ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems, Swarm Intelligence, vol.2, issue.2, pp.271-295, 2012.
DOI : 10.1007/s11721-012-0072-5

S. Erol, Swarm robotics: From sources of inspiration to domains of application, Swarm robotics, pp.10-20, 2005.

T. D. Seeley, Honeybee Democracy, 2010.

G. Theraulaz, S. Goss, J. Gervet, and J. Deneubourg, Task differentiation in polistes wasp colonies: A model for self-organizing groups of robots, Proceedings of the First International Conference on Simulation of Adaptive Behavior on From Animals to Animats, pp.346-355, 1990.

V. Trianni and S. Nolfi, Engineering the Evolution of Self-Organizing Behaviors in Swarm Robotics: A Case Study, Artificial Life, vol.63, issue.3, pp.183-202, 2011.
DOI : 10.1177/105971230601400203

S. Wischmann, D. Floreano, and L. Keller, Historical contingency affects signaling strategies and competitive abilities in evolving populations of simulated robots, Proceedings of the National Academy of Sciences, vol.109, issue.3, pp.864-868, 2012.
DOI : 10.1073/pnas.1104267109