觅食行为

首先介绍了基于群体智能的蚁群聚类算法的四种模型，然后将基于蚁群觅食行为的蚁群算法引入Web使用聚类。

Firstly , four clustering models based on ant colony behavior are introduced . Then , we apply ACO in Web usage clustering based on ant colony foraging behavior .

蚁群算法（Antcolonyoptimization，简称ACO）作为群体智能算法的一个分支，是受真实蚁群觅食行为的启发而逐步发展起来的一种模拟蚂蚁群体智能行为的算法。

As a branch of Swarm intelligence , inspired by the foraging behavior of real ants , Ant Colony Optimization ( ACO ) is an intelligent algorithm to mimic the collective behavior of ants .

玩具组和复合组肉鸡觅食行为的次数显著高于其他处理组（P＜0.05）。

The times of foraging in Toy and Complex treatment is obviously higher than the other treatments ( P0.05 ) .

微粒群优化算法（ParticleSwarmoptimization，PSO）是通过模拟鸟群觅食行为而发展起来的一种基于群体协作的随机搜索算法。

Particle Swarm Optimization is a random search algorithm based group collaboration by simulating the behavior of birds foraging .

人工鱼群算法（ArtificialFishSwarmAlgorithm，AFSA）是源于对鱼群觅食行为研究而提出的一种新型群体智能优化算法。

Artificial Fish Swarm Algorithm ( AFSA ) is a new kind of swarm intelligent bionic algorithm based on the " looking for food " behaviour of fish swarm .

蚂蚁算法是一种相对较新的启发式方法，通过模拟蚂蚁的觅食行为，提出了求解Qos组播路由问题的改进蚂蚁算法。

The ant algorithm is a relatively new meta-heuristic algorithm . The paper proposed an improved ant system algorithm to solve the QoS multicast routing problem by simulating ants'foraging behavior .

秦岭野生大熊猫（AiluropodaMelanoleuca）的觅食行为

Feeding Behavior of Wild Giant Panda ( Ailuropoda melanoleuca ) in Qinling Mountains

蚁群算法（ACA）是模拟蚁群觅食行为的一种启发式仿生类智能进化算法。

Ant colony algorithm ( ACA ) is a novel category of bionic meta-heuristic algorithm which simulates the behavior of ant colony in the process of searching for food .

菌群优化算法（BFO）是近些年来发展起来的，基于大肠杆菌觅食行为模型的一种新型群智能算法。

Bacterial Foraging Optimization ( BFO ) is a recently developed swarm intelligence algorithm based on the foraging behavior of E. coli bacteria .

受其启发，意大利学者M.Dorigo等人在1991年通过模拟蚁群觅食行为提出了一种基于种群的模拟进化算法&蚁群算法。

Inspired from this , a population-based simulated evolutionary algorithm called ant colony optimization ( ACO for short ) was proposed by Italian researchers M. Dorigo .

蚁群优化算法是由意大利学者M.Dorigo等人受到蚂蚁觅食行为的启发提出来的一种可以解决组合优化问题的较好的优化算法。

Ant Colony Optimization ( ACO ) is a novel algorithm which is proposed by Italian scholars M.Dorigo , and it provides a possible way for complicated combinatorial optimization problems .

西双版纳野生亚洲象的觅食行为

Foraging behavior of Asian elephants in Xishuangbanna , Yunnan , China

人工蚁群觅食行为建模、仿真和分析

Artificial ant colony foraging behavior modeling , simulation and analysis

资源异质性环境中的植物克隆生长：觅食行为

Clonal growth in plants in relation to resource heterogeneity : foraging behavior

棕胸竹鸡觅食行为的观察

An observation of feeding behavior of bamboo partridge in captivity

改进的微粒群算法模拟动物的群体觅食行为

Extending the Particle Swarm Optimization to Model Animal Foraging Behaviour

捕食风险及其对动物觅食行为的影响

Predation risk and its impact on animal foraging behavior

群体觅食行为启发的多机器人分布式编队控制方法研究

Distributed Formation Control of Multi-robot System Inspired by the Foraging Behavior of Bacteria

基于信息素反应的群体觅食行为研究

Research on Foraging Behavior Based on Pheromone Reaction

混合蛙跳算法是一种模拟青蛙觅食行为的智能优化算法，具有参数少，鲁棒性强，简单易于理解等特点。

This algorithm with a few parameters is robust , simple and easy to understand .

深点食螨瓢虫人工饲养和觅食行为学的研究

Eat Mite Ladybug Man-Days Deeply to Raise and Look for Edible Behavior the Research That Studied

曲阜河滨两种鸻形目鸟类觅食行为对人为干扰的响应

The Effect of Human Disturbance on Foraging Behaviors of Two Kinds of Charadriiformes in Qufu Streamside

非人灵长类动物觅食行为生态学的研究对动物保护、人工驯养和繁殖具有重要意义。

The research of foraging behavior ecology has a great significance in animal protection and artificial breeding .

果子狸觅食行为进行了简单描述和对行为其行为机制的推理。

We described the feeding behavior of masked palm civets , and discussed the mechanism to form .

研究了紫胶蚧觅食行为特点和紫胶蚧觅食时对寄主植物枝条的选择行为。

The characteristics of lac insect foraging behavior and its preference to host branch in foraging were studied .

它源于鱼群和鸟群的觅食行为，进而提出来的一种具有代表性的群体性智能进化算法。

It is a typical swarm intelligence optimization algorithm which originated in the fish and bird flock foraging behavior .

蚁群算法是一种最新发展的模拟昆虫王国中蚂蚁觅食行为的仿生优化算法。

Ant Colony Algorithm is a new developed bionic optimization algorithm , which simulate the ants ' finding food process .

哈林说，目前的计画包括研究狐猴的运动、力强度与指猴的觅食行为。

Current projects , Haring says , include looking at lemur locomotion and jaw strength and at aye-aye foraging behavior .

综述了社群学习对植食性鸟类和哺乳动物觅食行为的作用，并述评了其学习机制。

This paper reviews the effects of social learning on foraging behavior in herbivorous birds and mammals and the underlying mechanisms .

中华绒螯蟹触角及复眼在觅食行为中的作用研究

Study on the Function of the Antenna and the Compound Eye of the Mitten Crab ( Eriochier sinensis ) in Feeding Behaviour