A collective approach to reach known and unknown target in multi agent environment using nature inspired algorithms
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10586-024-04523-2.pdf
Reference43 articles.
1. Nguyen, T.T., Nguyen, N.D., Nahavandi, S.: Deep reinforcement learning for multiagent systems: a review of challenges, solutions, and applications. IEEE Trans. Cybernet 50(9), 3826–3839 (2020)
2. Shang, Y.: Resilient cluster consensus of multiagent systems. IEEE Trans. Syst. Man Cybernet 52(1), 346–356 (2020)
3. Papaioannou, S., Kolios, P., Theocharides, T., Panayiotou, C.G., Polycarpou, M.M.: A cooperative multiagent probabilistic framework for search and track missions. IEEE Trans. Control Netw. Syst. 8(2), 847–858 (2020)
4. Jia, Q., Hongli, X., Feng, X., Haitao, G., Gao, L.: Research on cooperative area search of multiple underwater robots based on the prediction of initial target information. Ocean Eng. 172, 660–670 (2019)
5. Robin, C., Lacroix, S.: Multi-robot target detection and tracking: taxonomy and survey. Autonomous Robots, (August):1–32, (2015)
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