多船协同驾驶任务分配建模与仿真

Shanshan Xiang, Yaojie Chen
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引用次数: 1

摘要

多船协同驾驶任务分配问题是多船协同控制的关键问题。针对系统具有多目标、多任务、多约束的特点,提出了一种协作式多任务分配模型,将多约束任务分配问题转化为基于多容器任务分配代价函数的多约束优化问题。该方法利用遗传蚁群混合算法对任务分配结果进行全局寻优。在仿真实验中,将该方法与单独的遗传算法和蚁群算法进行了比较,实验结果表明,该方法可以在满足这些约束的基础上优化任务分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Task assignment modeling and simulation for cooperative driving of multiple vessels
The task assignment problem for multiple vessels cooperative driving is the key problem of the multiple vessels cooperative control. Due to the system showing multi-objective, multi-tasking and multi-constrained features, a cooperative multi-task assignment model is proposed, which can transform multiple constraints task assignment problem into multiple constraints optimization problem based on the multiple vessels task assignment cost function. This method optimizes the results of task assignment by using genetic ant colony hybrid algorithm to search optimization solution globally. In the simulation experiment, it is compared with the genetic algorithm and the ant colony algorithm alone, and experimental results show that the method can optimize task assignment on the basis of satisfying these constraints.
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