Abstract
Reasonable ways and suitable decision of ships collision avoidance are the guarantee of the safety navigation. Based on analysis of the existing collision avoidance strategy, this paper studies on the effectiveness of chaotic particle swarm optimization (CPSO) algorithm for ships collision avoidance, by introducing the improved Tent mapping to solve the premature convergence problem of PSO. The mathematical model and objective function of collision avoidance are put forward and the simulation is carried out to compare the CPSO with PSO in various encounter situations of ships. The results shows that the CPSO is feasible and practical in conducting an optimal steering collision-avoidance scheme.
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Acknowledgement
In this paper, the research was supported by Initial Scientific Research Fund of Fujian University of Technology and Pre-research Project of Fujian University of Technology.
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Liu, L., He, D., Ma, Y., Li, T., Li, J. (2018). Research on Ships Collision Avoidance Based on Chaotic Particle Swarm Optimization. In: Pan, JS., Wu, TY., Zhao, Y., Jain, L. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. VTCA 2017. Smart Innovation, Systems and Technologies, vol 86. Springer, Cham. https://doi.org/10.1007/978-3-319-70730-3_28
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DOI: https://doi.org/10.1007/978-3-319-70730-3_28
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