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foraging相关的网络例句

查询词典 foraging

与 foraging 相关的网络例句 [注:此内容来源于网络,仅供参考]

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。

Combined these several traditional optimal path algorithms and ant foraging behavior, a new algorithm was introduced, that was Ant Colony Algorithm.

在以上几种经典最优路径算法的基础上结合蚂蚁觅食行为引入新的算法——蚁群算法(Ant Colony Algorithm,ACA)。

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。

Based on Wilensky's ant colony foraging model and considers additional nature rules including multi-species, 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。

A bionics algorithm for robot path planning in static environment is proposed, in which the environmental models are established with grid method, the foraging behavior of ant colonies is simulated and optimal path search is finished by many ants cooperatively.

描述了一种静态环境下的机器人路径规划仿生算法。该算法用栅格法对场景进行建模,模拟蚂蚁的觅食行为,由多只蚂蚁协作完成最优路径的搜索。

Name: ant foraging simulation program description: This procedure simulated natural ants to find food and back to their own process of Waterloo, lifelike reproduction of a single ant the flexibility and the emergence of a whole ant colony smart.

详细说明:程序名称:蚁群觅食模拟程序介绍:本程序模拟自然界蚂蚁寻找食物并带回自己窝的过程,栩栩如生的再现了单个蚂蚁的灵活性和整体蚁群的智能涌现。

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