Robot Chain Based Self-organizing Search Method of Swarm Robotics

Author:

Luo Yandong,Guo Jianwen,Zeng Zhibin,Chen Chengzhi,Li Xiaoyan,Wu Jiapeng

Publisher

Springer International Publishing

Reference11 articles.

1. Giraldo, J.A., Quijano, N., Passino, K.M.: Honey bee social foraging algorithm for resource allocation. In: Kacprzyk, J., Pedrycz, W. (eds.) Springer Handbook of Computational Intelligence, pp. 1361–1376. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-43505-2_70

2. Liu, Y., Passino, K.M.: Biomimicry of social foraging bacteria for distributed optimization: models, principles, and emergent behaviors. J. Optim. Theor. Appl. 115(3), 603–628 (2002)

3. Bayindir, L., Şahin, E.: A review of studies in swarm robotics. Turk. J. Electr. Eng. Comput. Sci. 15(2), 115–147 (2007)

4. Schmickl, T., Möslinger, C., Thenius, R., et al.: Individual adaptation allows collective path-finding in a robotic swarm. Int. J. Factory Autom. Robot. Soft Comput. 4, 102–108 (2007)

5. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Santa Fe Institute Studies on the Sciences of Complexity. Oxford University Press, New York (2003)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Physarum Polycephalum Inspired Search Strategy for Multi-robot;Advances in Intelligent Automation and Soft Computing;2021-07-25

2. Toward target search approach of swarm robotics in limited communication environment based on robot chains with elimination mechanism;International Journal of Advanced Robotic Systems;2020-05-01

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