Distributed particle swarm optimization for limited time adaptation in autonomous robots

Springer Tracts in Advanced Robotics

Volumn 104, Issue , 2014, Pages 383-396

  Di Mario, Ezequiel ^a   Martinoli, Alcherio ^a  

^a EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COLLISION AVOIDANCE; OPTIMIZATION; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO); ROBOTICS;

ADAPTATION PROCESS; ALGORITHMIC PARAMETERS; CONTROLLER DESIGNS; DISTRIBUTED IMPLEMENTATION; DISTRIBUTED PARTICLES; ENERGY AUTONOMIES; INDIVIDUAL AGENT; PERFORMANCE METRICES;

ROBOTS;

EID: 84927638478     PISSN: 16107438     EISSN: 1610742X     Source Type: Book Series    
DOI: 10.1007/978-3-642-55146-8_27     Document Type: Conference Paper

References (17)

1. Akat, S.B., Gazi, V.: Decentralized asynchronous particle swarm optimization. In: IEEE Swarm Intelligence Symposium (2008), doi:10.1109/SIS.2008.4668304.
2. Bratton, D., Kennedy, J.: Defining a Standard for Particle Swarm Optimization. In: IEEE Swarm Intelligence Symposium, pp. 120–127 (2007).
3. Chang, J., Chu, S., Roddick, J.: A parallel particle swarm optimization algorithm with communication strategies. Journal of Information Science, 809–818 (2005).
4. Di Mario, E., Mermoud, G., Mastrangeli, M., Martinoli, A.: A trajectory-based calibration method for stochastic motion models. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4341–4347 (2011).
5. Floreano, D., Mondada, F.: Evolution of homing navigation in a real mobile robot. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 26(3), 396–407 (1996).
6. Hereford, J., Siebold, M.: Using the particle swarm optimization algorithm for robotic search applications. In: IEEE Swarm Intelligence Symposium, pp. 53–59 (2007).
7. Jin, Y., Branke, J.: Evolutionary Optimization in Uncertain Environments A Survey. IEEE Transactions on Evolutionary Computation 9(3), 303–317 (2005).
8. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948 (1995).
9. Marques, L., Nunes, U., Almeida, A.T.: Particle swarm-based olfactory guided search. Autonomous Robots 20(3), 277–287 (2006).
10. Michel, O.: Webots: Professional Mobile Robot Simulation. Advanced Robotic Systems 1(1), 39–42 (2004).
11. Pan, H., Wang, L., Liu, B.: Particle swarm optimization for function optimization in noisy environment. Applied Mathematics and Computation 181(2), 908–919 (2006).
12. Parsopoulos, K.E., Vrahatis,M.N.: Particle Swarm Optimizer in Noisy and Continuously Changing Environments. In: Hamza, M.H. (ed.) Artificial Intelligence and Soft Computing, pp. 289–294. IASTED/ACTA Press (2001).
13. Poli, R.: Analysis of the publications on the applications of particle swarm optimisation. Journal of Artificial Evolution and Applications 2008(2), 1–10 (2008).
14. Pugh, J., Martinoli, A.: Distributed scalable multi-robot learning using particle swarm optimization. Swarm Intelligence 3(3), 203–222 (2009).
15. Pugh, J., Zhang, Y., Martinoli, A.: Particle swarm optimization for unsupervised robotic learning. In: IEEE Swarm Intelligence Symposium, pp. 92–99 (2005).
16. Rada-Vilela, J., Zhang, M., Seah, W.: Random Asynchronous PSO. In: The 5th International Conference on Automation, Robotics and Applications, pp. 220–225 (2011).
17. Turduev, M., Atas, Y.: Cooperative Chemical Concentration Map Building Using Decentralized Asynchronous Particle Swarm Optimization Based Search by Mobile Robots. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4175–4180 (2010)