船舶自动航行中的多目标遗传算法应用

发布时间：2018-02-16 12:13

本文关键词： 遗传算法路径规划交叉与变异　出处：《舰船科学技术》2016年22期 　论文类型：期刊论文

【摘要】：船舶自动航行是未来航海领域重要的关键技术,算法通过对船舶航行目标及安全水域的分析,自动的寻找船舶航行最佳路径,属于路径规划研究一类。标准遗传算法通过对遗传物质基因的继承和映射,来寻找自然进化过程中的最优解,也是解决路径规划类问题的重要方法,但是其最优解往往会陷入局部最优,需要进行优化。本文研究海上自动航行中的路径匹配模型,利用多目标遗传算法给出船舶路径规划图解决方法,并对算法进行仿真。
[Abstract]:Automatic ship navigation is an important key technology in the future navigation field. By analyzing the navigation target and safe waters, the algorithm can automatically find the best route of ship navigation. Standard genetic algorithm is an important method to solve the problem of path planning by inheriting and mapping genetic material genes to find the optimal solution in the process of natural evolution. However, the optimal solution often falls into local optimum, which needs to be optimized. In this paper, the path matching model in marine automatic navigation is studied, and the multi-objective genetic algorithm is used to solve the ship path planning graph, and the algorithm is simulated.
【作者单位】：江苏海事职业技术学院航海学院;
【分类号】：U675.79

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