Basic ant colony algorithm的意思|示意
基本蚁群算法
Basic ant colony algorithm的网络常见释义
基本蚁群算法 ...∈N，J∈M． 2AACA设计 ACA是一种源于自然界的新的仿生类随机型 搜索算法，本文称为基本蚁群算法（basic ant colony algorithm，BACA）．文献［7-8］进行的对比研究表 明，ACA在组合优化问题求解方面具有很好的搜索 性能．作为一种随机...
Basic ant colony algorithm相关例句
The basic ant colony clustering algorithm in the calculation of similarity, due to not take direction between adjacent objects, often caused by clustering algorithms do not even slow convergence.
基本蚁群聚类算法在计算相似度时，由于没有考虑相邻对象之间方向的影响，往往造成聚类速度缓慢甚至算法不收敛。
Also this paper discusses the basic method of ant colony algorithm to optimize PID control parameter.
探讨了遗传算法优化PID参数的基本方法，着重研究了改进遗传算法的PID控制优化。
After the basic theory of ACA is introduced, a multiprocessors scheduling policy based on an improved ant colony algorithm is proposed in this paper.
在介绍蚁群算法基本原理以及探讨该算法的缺陷基础上，针对多处理器任务调度问题，提出了一种基于改进型蚁群算法的调度策略。
The basic and typical algorithm of swarm intelligence is particle swarm optimization and Ant colony oprimation.
目前，群智能理论研究领域有两种主要的算法：微粒群优化算法和蚁群优化算法。
In order to overcome the shortcoming of basic ant algorithm, a new ant algorithm, Adaptive ant Colony algorithm (AACA), is proposed in this paper.
针对蚂蚁算法的不足，该文提出了一种自适应蚁群算法。
The convergence error of hybrid ant colony algorithm is small in comparison to that of recursive least square algorithm and basic ant colony algorithm.
分别用递推最小二乘算法、基本蚁群算法与混合蚁群算法训练模糊系统，混合蚁群算法的收敛效果优于递推最小二乘算法与基本蚁群算法。