Ant Colony Algorithm (ACA) is an intelligence-optimized algorithm coming from the illumination of food-seeking behavior by ants based on the shortest route of daumone.
蚁群算法是受自然界蚂蚁觅食过程中，基于信息素的最短路径搜索食物行为启发，提出的一种智能优化算法。
The shortest path algorithm is a classical problem of the best route algorithm, which has widespread application in many aspects.
最短路径算法是最优路径算法中的一个经典问题，它在实际生产生活中有广泛应用。
The algorithm traces safety sea contour and obtains obstacle areas, and then creates intelligently the shortest route by comparing spatial relations of line segments and obstacle areas.
通过追踪安全等深线，获取障碍区，然后测试线段与障碍区的空间关系来智能地搜索最短路径。
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