Abstract
The paper considers application of agent-based computing system, namely Evolutionary Multi-Agent System, to solving a difficult yet interesting problem of a marine glider path planning. Different version of mutations are compared both for EMAS and evolutionary algorithm parametrized in the most possibly similar manner to EMAS and the observed results show that the EMAS is better in most of the experiments.
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The research presented in this paper was partially supported by the AGH University of Science and Technology Statutory Project.
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Gawel, M., Jakubek, T., Byrski, A., Kisiel-Dorohinicki, M., Pietak, K., Hernandez, D. (2018). Evolutionary Multi-Agent System in Planning of Marine Trajectories. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11055. Springer, Cham. https://doi.org/10.1007/978-3-319-98443-8_29
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