Swarm-like Methodologies for Executing Tasks with Deadlines

Author:

Guerrero José,Oliver Gabriel

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Reference26 articles.

1. Agassounon, W., Martinoli, A.: Efficiency and robustness of threshold-based distributed allocation algorithms in multi-agent systems. In: 1st Int. Joint Conference on Autonomous Agents and Multi-agents Systems, pp. 1090–1097. Bologna, Italy (2002)

2. Altshuler, Y., Bruckstein, A., Wagner, I.: On swarm optimality in dynamic and symmetric environments. Second International Conference on Informatics in Control, Automation and Robotics (ICINCO) (2005)

3. Bonabeau, E., Sobkowski, A., Theraulaz, G., Deneubourg, J.L.: Adaptive task allocation inspired by a model of division of labor in social insects. In: Lundh, D., Olsson, B., Narayanan, A. (eds.) Bio Computation and Emergent Computing, pp. 36–45. World Scientific (1997)

4. Brian P. Gerkey, M.M.: A formal analysis and taxonomy of task allocation in multi-robot systems. Int. J. Rob. Res. 23(9), 939–954 (2004)

5. Campbell, A., Wu, A., Shumaker, R.: Multi-agent task allocation: learning when to say no. In: 10th Annual Conference on Genetic and Evolutionary Computation, pp. 201–208. Atlanta, USA (2008)

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