基于蚁群算法的多紫外探测阵列优化

Mingwei Liu, Lu Liu, Lichuan Zhang, Guang Pan, Peidong Dang, Yi Chen
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引用次数: 0

摘要

随着水下探测目标隐身性能的提高和探测任务的复杂化,单个水下无人潜航器已经无法满足当前的任务要求。因此,近年来,多紫外协同检测在某些任务中得到了广泛的应用。针对探测任务中多个UUV编队变化对探测效果影响较大的问题,提出了一个多UUV编队优化模型。然后,通过蚁群算法求解多uuv协同检测的队形优化问题。结果表明,本文算法比传统算法具有更强的鲁棒性。以及全局搜索最优解的能力。
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Multi-UUV Detection Array Optimization Based on Ant Colony Algorithm
With the increasing stealth performance of underwater detection targets and more complex detection tasks, a single underwater unmanned underwater vehicle (UUV) has been already unable to meet the current mission requirements. Therefore, in recent years, multi-UUV cooperative detection has been widely used in certain task. To address the problem that the change of multiple UUV formations in the detection task will have a large impact on the detection effectiveness, a multi-UUV formation optimization model is proposed. Then, the formation optimization problem of multi-UUV cooperative detection is solved through the ant colony algorithm. The results show that the algorithm in this paper is more robust than the traditional algorithm. and the ability to globally search for optimal solutions.
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