摘要
利用栅格法构建海洋环境数据模型作为船舶航迹点生成的模拟图。在此基础上将航行距离最短与航行障碍物最少作为目标构建船舶航迹点生成数学模型,使用自适应交叉概率与变异概率优化鱼群算法,使用优化后的鱼群算法确定船舶航迹点生成数学模型的最终解,获取最佳船舶航迹点。经过试验分析,该算法能够准确生成船舶航迹点,与同类算法相比具有明显优势,且在天气环境影响下仍然具有良好的航迹生成效果。
The marine environment data model is constructed by raster method as a simulation graph generated by ship track points.On this basis,the shortest sailing distance and the least sailing obstacles are taken as the objectives to build a mathematical model of ship track point generation.Using adaptive crossover probability and mutation probability to optimize the fish swarm algorithm,the optimized fish swarm algorithm is used to determine the final solution of the mathematical model of ship track point generation and obtain the best ship track point.The experimental results show that this algorithm can accurately generate ship track points,which has obvious advantages compared with similar algorithms,and still has good track generation effect under the influence of weather environment.
作者
齐虎春
QI Hu-chun(National Engineering Laboratory of Internet Education Intelligent Technology and Application,Beijing Nonnal University,B eying 100875,China;Inner Mongolia Vocational College of Chemical Engineering,Hohhot 010070,China)
出处
《舰船科学技术》
北大核心
2022年第6期129-132,共4页
Ship Science and Technology
基金
内蒙古自治区高等学校科学研究项目(NJZY19280)。
关键词
人工智能技术
船舶航迹
航迹点生成
优化鱼群算法
交叉概率
变异概率
artificial intelligence technology
ship’s track
track point generation
optimized fish swarm algorithm
crossover probability
mutation probability
