T. Balch and R. C. Arkin, Behavior-based formation control for multirobot teams, IEEE Transactions on Robotics and Automation, vol.14, issue.6, pp.926-939, 1998.
DOI : 10.1109/70.736776

F. Bartumeus, J. Catalan, G. Viswanathan, E. Raposo, and M. Da-luz, The influence of turning angles on the success of non-oriented animal searches, Journal of Theoretical Biology, vol.252, issue.1, pp.43-55, 2008.

B. Bayat, N. Crasta, A. Crespi, A. M. Pascoal, and A. Ijspeert, Environmental monitoring using autonomous vehicles: a survey of recent searching techniques, Current Opinion in Biotechnology, vol.45, pp.76-84, 2017.

L. Briñón-arranz, A. Seuret, and C. Canudas-de-wit, Cooperative control design for time-varying formations of multi-agent systems, IEEE Transaction on Automatic Control, vol.59, issue.8, pp.2283-2288, 2014.

L. Briñón-arranz, L. Schenato, and A. Seuret, Distributed source seeking via a circular formation of agents under communication constraints, IEEE Transactions on Control of Network Systems, vol.3, issue.2, pp.104-115, 2016.

D. Chang, W. Wu, D. R. Webster, M. J. Weissburg, and F. Zhang, A bio-inspired plume tracking algorithm for mobile sensing swarms in turbulent flow, IEEE International Conference on Robotics and Automation (ICRA), pp.921-926, 2013.

M. Dunbabin and L. Marques, Robots for environmental monitoring: Significant advancements and applications, IEEE Robotics & Automation Magazine, vol.19, issue.1, pp.24-39, 2012.
DOI : 10.1109/mra.2011.2181683

H. Hajieghrary, A. Hsieh, and I. B. Schwartz, Multi-agent search for source localization in a turbulent medium, Physics Letters A, vol.380, issue.20, pp.1698-1705, 2016.

V. Kumar, D. Rus, and S. Singh, Robot and sensor networks for first responders, IEEE Pervasive computing, vol.3, issue.4, pp.24-33, 2004.
DOI : 10.1109/mprv.2004.17
URL : https://repository.upenn.edu/cgi/viewcontent.cgi?article=1246&context=meam_papers

W. Li, J. A. Farrell, S. Pang, and R. M. Arrieta, Moth-inspired chemical plume tracing on an autonomous underwater vehicle, IEEE Transactions on Robotics, vol.22, issue.2, pp.292-307, 2006.

L. Marques, U. Nunes, and A. T. De-almeida, Particle swarm-based olfactory guided search, Autonomous Robots, vol.20, issue.3, pp.277-287, 2006.
DOI : 10.1007/s10514-006-7567-0
URL : https://estudogeral.sib.uc.pt/bitstream/10316/7634/1/obra.pdf

P. Ogren, E. Fiorelli, and N. E. Leonard, Cooperative control of mobile sensor networks: Adaptive gradient climbing in a distributed environment, IEEE Transactions on Automatic control, vol.49, issue.8, pp.1292-1302, 2004.

Z. Pasternak, F. Bartumeus, and F. W. Grasso, Lévy-taxis: a novel search strategy for finding odor plumes in turbulent flow-dominated environments, Journal of Physics A: Mathematical and Theoretical, vol.42, issue.43, 2009.

C. S. Patlak, Random walk with persistence and external bias. The bulletin of mathematical biophysics, vol.15, pp.311-338, 1953.
DOI : 10.1007/bf02476407

A. M. Reynolds, Bridging the gulf between correlated random walks and lévy walks: autocorrelation as a source of lévy walk movement patterns, Journal of the Royal Society Interface, vol.7, issue.53, pp.1753-1758, 2010.

R. A. Russell, A. Bab-hadiashar, R. L. Shepherd, and G. G. Wallace, A comparison of reactive robot chemotaxis algorithms, Robotics and Autonomous Systems, vol.45, issue.2, pp.83-97, 2003.

D. K. Sutantyo, S. Kernbach, P. Levi, and V. A. Nepomnyashchikh, Multi-robot searching algorithm using lévy flight and artificial potential field, IEEE International Workshop on Safety Security and Rescue Robotics (SSRR), pp.1-6, 2010.

M. Vergassola, E. Villermaux, and B. I. Shraiman, Infotaxis as a strategy for searching without gradients, Nature, vol.445, issue.7126, p.406, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00326807

G. Viswanathan, V. Afanasyev, S. V. Buldyrev, S. Havlin, M. Da-luz et al., Lévy flights in random searches, Physica A: Statistical Mechanics and its Applications, vol.282, issue.1, pp.1-12, 2000.

G. Viswanathan, E. Raposo, F. Bartumeus, J. Catalan, and M. Da-luz, Necessary criterion for distinguishing true superdiffusion from correlated random walk processes, Physical Review E, vol.72, issue.1, 2005.

G. M. Viswanathan, S. V. Buldyrev, S. Havlin, and M. Da-luz, Optimizing the success of random searches, Nature, vol.401, issue.6756, p.911, 1999.