Multiobjective Optimization Based Vessel Collision Avoidance Strategy Optimization

被引:4
|
作者
Xu, Qingyang [1 ]
Zhang, Chuang [2 ]
Wang, Ning [2 ]
机构
[1] Shandong Univ, Weihai, Peoples R China
[2] Dalian Maritime Univ, Dalian, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
ANT COLONY OPTIMIZATION; SAFE SHIP TRAJECTORIES; COMPUTER-SIMULATION; EVOLUTIONARY SETS; ALGORITHM;
D O I
10.1155/2014/914689
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The vessel collision accidents cause a great loss of lives and property. In order to reduce the human fault and greatly improve the safety of marine traffic, collision avoidance strategy optimization is proposed to achieve this. In the paper, a multiobjective optimization algorithm NSGA-II is adopted to search for the optimal collision avoidance strategy considering the safety as well as economy elements of collision avoidance. Ship domain and Arena are used to evaluate the collision risk in the simulation. Based on the optimization, an optimal rudder angle is recommended to navigator for collision avoidance. In the simulation example, a crossing encounter situation is simulated, and the NSGA-II searches for the optimal collision avoidance operation under the Convention on the International Regulations for Preventing Collisions at Sea (COLREGS). The simulation studies exhibit the validity of the method.
引用
收藏
页数:9
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