摘要
合理优化的船舶航行路径是舰桥系统中重点研究的技术之一。本文将遗传算法引入到船舶导航路径规划中,设计适当的适应度函数和遗传算子,从而保证遗传算法的鲁棒性;并且通过改进的交叉算子和变异算子能够增强种群的多样性。最后通过仿真对比实验来说明本文算法的有效性。
The optimal navigation path is one of the key technologies in the research of bridge system. In this paper, genetic algorithm was introduced into the ship navigation path planning. The fitness function and genetic operators were designed to ensure the robustness of the genetic algorithm. The improved crossover operator and mutation operator could improve the diversity of population. Finally, the effectiveness of the proposed algorithm was verified by simulation experiments.
出处
《舰船科学技术》
北大核心
2017年第5X期76-78,共3页
Ship Science and Technology
基金
江苏省高职院校教师专业带头人高端研修团队访学项目(2016TDFX009)
教育部人文社会科学研究青年基金项目(15YJC880143)
关键词
遗传算法
导航路径
适应度函数
遗传算子
genetic algorithm
navigation path
fitness function
genetic operator
