1) Ant Colony Optimization Clustering
蚁群优化聚类
2) ant colony clustering
蚁群聚类
1.
Image segmentation method based on region growing and ant colony clustering;
基于区域生长和蚁群聚类的图像分割
2.
Image segmentation method based on watersheds and ant colony clustering;
基于分水岭变换和蚁群聚类的图像分割
3.
Mining user navigation pattern using incremental ant colony clustering;
基于增量式蚁群聚类的用户访问模式挖掘
3) Ant Clustering Algorithm
蚁群聚类
1.
Ant Clustering Algorithm and Its Application to Recommender System;
蚁群聚类算法及其在推荐系统中的应用
4) ant clustering
蚁群聚类
1.
Aim To present a clustering algorithm based on fusion of ant colony and genetic algorithm for overcoming the problems that ant clustering algorithm has many parameters and associated with the problem domain,prone to stagnation and other issues.
目的通过将蚁群与遗传算法融合,以解决蚁群聚类算法参数众多且与问题域相关,搜索容易出现停滞现象等问题。
5) ant colony optimization
蚁群优化
1.
Routing-planning of city logistics distribution based on higher-lower level ant colony optimization algorithm;
基于双层蚁群优化算法的城市物流配送路径规划
2.
Recent progress of ant colony optimization and its applications;
蚁群优化的研究进展及应用
3.
Study of continuous ant colony optimization algorithm;
连续蚁群优化算法的研究
6) ACO
蚁群优化
1.
ACO Scheduling Approach for Manufacturing Cells Based on Flexible ProcessLeng Sheng,Wei Xiaobin,Wang Ningsheng;
柔性工艺路线蚁群优化单元作业调度
2.
A New Algorithm Based ACO for Routing Problem in Application-Layer Multicast Network;
基于蚁群优化的应用层多播路由算法
3.
The parallelism of ant col-ony optimization(ACO) is feasible in UCAV path planning under complicated combat environments,but the basic ACO algorithm has the limitation of stagnation,and is easy to fall into local optimum trouble.
蚁群优化(ACO)算法的并行实现机制适合于复杂作战环境下的UCAV航路规划,但是基本ACO算法有易陷于局部最优解的缺点。
补充资料：云屯蚁聚
1.形容众多的人物聚集在一起。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条