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multiple ant colony algorithm 蚁群算法
n multiple ant colony algorithm n元蚁群算法
Compared with the single ant colony algorithm, it can more effectively solve the correlation problem among multiple subgraphs. 与蚁群算法独立搜索比较，分散、递阶蚁群算法能更有效地实现多子图之间的关联。
A godless net muting with ant colony algorithm for IC design is presented. 本文提出了一种基于蚁群算法的集成电路无网格布线算法。
Ant colony algorithm is an intelligent clustering analysis methodology. 蚁群算法是一种智能聚类分析方法。
Evolutionary strategy with searching in variable neighborhood parameter is taken to improve ant colony algorithm (ACA). 摘要蚂蚁算法是解决组合优化问题的一种优秀的算法，但直接用于解决连续优化问题存在很大困难。
Ant colony algorithm has strong robustness and is easy to combine with other methods in optimization. 该算法采用分布式并行计算机制，易与其他方法想结合，具有较强的鲁棒性。
The ant colony algorithm is a new bionic simulated evolutionary algorithm developed in recent years. 摘要蚁群算法是近年来出现的一种新的仿生优化算法。
The coloring problem of graph theory is combined with an improved ant colony algorithm to plan optimally the overhaul. 在优化的过程中采用了改进的蚁群算法，并结合了图论中的图着色问题。
Ant colony algorithm is a kind of new heuristic solution to combinatorial optimization program. 摘要蚁群算法是一种用于求解复杂组合优化的较新的启发式算法。
In the paper, a method of image segmentation by ant colony algorithm based on two-dimensional gray histogram is presented. 提出了一种基于二维灰度直方图的蚁群图像分割方法。
To overcome the default of precocity and stagnation in classical augment ant colony algorithm, an modified augment ant colony algorithm is presented. 针对传统增强型蚁群算法容易出现早熟和停滞现象的缺陷,提出了一种改进的增强型蚁群算法。
It introduced a basic Ant Colony Algorithm and adapted it to optimize the structure and control parameters of EPS system. 介绍了蚁群算法的基本知识,将蚁群算法引入电控助力转向系统(EPS)中,对EPS结构参数和控制参数进行集成优化,并用MATLAB进行了仿真。
Ant colony algorithms are robust and adaptable as novel optimization methods. 蚁群算法作为一种新型的优化方法,具有很强的鲁棒性和适应性。
An improved ant colony algorithm (ACA) is proposed in order to resolve the path planning problem for seep sea mining robot. 摘要针对深海采矿机器人路径规划问题，提出一种适合于采矿作业的改进蚁群算法。
Ant colony algorithm is applied to solve unmanned aerial vehicle(UAV) cooperative multi-task assign-ment problem(CMTAP). 采用蚁群算法对无人机协同多任务分配问题(CMTAP)进行研究。
On the basis of analyzing the disadvantages of ant colony algorithm (AS), max-min ant colony algorithm (MMAS) is proposed to solve VRP. 摘要蚁群算法能很好地解决车辆路径问题，但算法搜索时间长，易出现停滞现象。
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。
And then near optimization single object selective disassembly sequence could be generated based on ant colony algorithm. 然后结合蚁群算法，从所有可行序列中搜索最优或接近最优的单目标零件选择性拆卸序列。
By use of the properties of pheromone of ant colony algorithm, an ant colony algorithm based on multiplicate pheromone is proposed to solve the traveling salesman problems(TSP). 根据蚁群算法信息素更新的特性,提出了求解旅行商问题的多样信息素的蚁群算法。