Intelligent Ship Collision Avoidance Support System Based on the Algorithm of Anthropomorphic Physics

作     者：Feng, Guoxu Gu, Songbo Sun, Shihu 

作者机构：Nanjing University of Aeronautics and Astronautics China Hebei Jiaotong Vocational and Technical College China 

出 版 物：《International Journal of Ambient Computing and Intelligence》 (Int. J. Ambient Comput. Intell.)

年 卷 期：2024年第15卷第1期

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0824[工学-船舶与海洋工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Optimization algorithms 

摘      要：Most of the collision-related decisions of ships at sea depend on the working experience of drivers and determining a reasonable avoidance decision quickly when facing a multivessel encounter situation is difficult, so applying intelligent algorithms to assist these decisions is necessary. On the basis of this, the authors researched the construction of intelligent decision support systems for ship collision avoidance that relies on an anthropomorphic physics optimization algorithm. They used this algorithm to obtain the global range optimal solutions through iteration, which provides effective decisions for ship collision avoidance. The experiments were designed to simulate and analyze the ship collision avoidance decision model. The results showed that the decision-making system based on the anthropomorphic physics optimization algorithm can provide an effective collision avoidance decision scheme. © 2024 IGI Global. All rights reserved.