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foraging ant相关的网络例句

查询词典 foraging ant

与 foraging ant 相关的网络例句 [注:此内容来源于网络,仅供参考]

We demonstrate that after obtaining food the ant workers are able to rapidly return to their nest along a new,'bee-line'route and are not bound to retrace their outward tortuous routes during foraging.

实验证明这种蚂蚁在获得食物后,并不重复搜寻食物期间所走过的迂回路线,而是沿着近似直线的新路径迅速回巢。

Like my own programs that mimicked ant foraging to control big communications networks.

它与我搞的模仿蚂蚁寻食行为来控制巨大交流网络的程序类似。

This algorithm is inspired by the foraging behavior of real life ant colonies in which individual ants deposit a substance called pheromone on the path while moving from one point to another.

这种算法是由真实生活和蚁群活动想到的,蚁群中单个蚂蚁在从一点到另一点爬动时的路径。

In this algorithm the model of robot's workspace was established with grid method and foldback iterating was used to search the aims by simulating the foraging behavior of ant colony.

该算法使用栅格法对机器人的工作空间进行建模,通过模拟蚂蚁的觅食行为,采用折返的迭代方式对目标进行搜索。

The ant foraging directly affects the seed density in soil seed bank, and the degree is different according to different plant kinds, and the annual herb plants are most influenced.

蚂蚁觅食对土壤中种子库种子密度的影响因植物种类的不同而异,其中,对一年生的草本植物影响较大,从而影响到植物群落的组成和空间分布。

The simulation result shows that AntcolonySim can simulate nature ant colony foraging realistically, which is also a reference for discussing emergent behavior in complex system through bottom interactional agents.

仿真结果及分析表明,AntcolonySim能够比较逼真地模拟自然界蚁群的觅食行为,对研究如何通过多相互作用的agent来模拟和探索复杂系统中的整体涌现行为具有一定的参考价值。

Through simulating the foraging behavior of the ant society, swarm-intelligence-based routing algorithms can hopefully provide approximate solutions to the above mentioned NPC routing problems.

基于Swarm Intelligence的路由算法是人们的一种新的尝试,它模仿自然界蚂蚁的觅食行为,为寻求具有NPC难度的路由问题的近似解提供了新的思路。

Based on Wilensky's ant colony foraging model and considers additional nature rules including multispecies, competition and evolution mechanism,promoted AntcolonySim model.

在Wilensky蚁群觅食模型基础之上,增加了多样性、竞争机制和进化机制,提出了人工蚁群觅食行为仿真模型。

The stoical and global environment is given, which is abstracted with grid method before the workspace model of the robot being built. With the adoption of the ant colony algorithm, the foraging behavior of ant colony is simulated. According to the optimization condition, the robot tries to find a path which is optimal or optimal-approximate path from starting point to goal, that is global path planning.

本文讨论的机器人环境为静态全局环境已知,通过栅格法对已知环境进行抽象,建立机器人工作空间模型,并采用蚁群算法,模拟蚂蚁觅食行为,根据优化条件搜索出一条从指定起点到终点的最优或近似最优路径,即全局路径规划。

Ant algorithm is a new type of swarm intelligent algorithm. It takes inspiration from the observations of ant colonies foraging behavior that ants can find the shortest paths between food sources and their nests. It is simple, common, robust, excellent in self-adjusting, easy to expand and suitable for parallel process, etc.

蚂蚁算法是受大自然中蚂蚁觅食启发而产生的一种智能仿生算法,具有简单通用、鲁棒性强、自调节能力出色、易于扩展、适合分布处理等特点,因此借助蚂蚁算法解决VRP问题具有非常现实的意义。

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