摘要
传统的鱼群算法、蚁群算法在对数学建模求解中存在迭代次数过多的问题,针对该问题,对人工智能算法进行优化,设计新的数学建模求解方法。首先,描述船舶航行航线及约束条件;其次,根据约束条件,构建规划数学模型;最后,基于人工智能算法设计此时的求解函数,得出该数学建模的解。实验结果表明:人工智能算法在船舶航线规划的数学建模求解时的迭代次数少,求解性能更佳。
Both traditional fish swarm algorithm and ant colony algorithm have the problem of too many iterations in solving the mathematical modeling.To solve this problem,the artificial intelligence algorithm is optimized and a new mathematical modeling solution method is designed.Firstly,the ship navigation route and constraints are described;secondly,the planning mathematical model is constructed according to the constraints;finally,the solution function is designed based on artificial intelligence algorithm,and the solution of mathematical modeling is obtained.The experimental results show that the artificial intelligence algorithm has fewer iterations and do well in the mathematical modeling of ship route planning.
作者
信晓艺
Xin Xiaoyi(School of Mathematics and Big Data,Dezhou University,Dezhou,Shandong 253023,China)
出处
《黑龙江工业学院学报（综合版）》
2021年第10期72-75,共4页
Journal of Heilongjiang University of Technology(Comprehensive Edition)
关键词
人工智能算法
船舶航线
约束条件
数学建模
求解
artificial intelligence algorithm
ship route
constraints
mathematical modeling
solution
