Compared with the ant system algorithm, this paper introduces MMAS systemically and proves its convergence theoretically.
文章系统地介绍了MMAS算法，并在理论上证明了该算法的收敛性。
Ant system algorithm is a kind of evolutionary algorithms, which is efficient in solving combinatorial optimization problem.
蚁群算法是一种进化算法，适合解决组合优化问题，指派问题是组合优化问题中的一个分支。
Ant colony system is a novel simulated evolutionary algorithm, which provides a new method for complicated combinatorial optimization problems.
蚁群算法是一种新型的模拟进化算法，为求解复杂的组合优化问题提供了一种新的思路。
This paper presented a vehicle navigation system simulation model based on ant colony algorithm.
本文提出一种基于蚁群算法的车辆导航系统模拟模型。
Power system restoration; Over-voltage prediction; Node importance; Ant Colony algorithm; Skeleton - network reconfiguration; Load recovery.
电力系统恢复；过电压预测；节点重要性；蚁群算法；网架重构；负荷恢复。
Based on the recently developed new intelligent optimization idea: artificial ant system, we proposes a quick ant searching algorithm for solving VRP.
基于近些年出现的新型智能优化思想：人工蚂蚁系统，给出了一种可快速求解VRP的蚂蚁搜索算法。
Ant colony system is a novel emerged stochastic searching optimization algorithm in recent years.
蚁群算法是近年来新出现的一种随机搜索寻优算法。
Ant colony algorithm, which is different from other heuristic algorithm, has not formed the theory system.
蚁群算法出现的时间不长，对其研究还远不像其它启发式算法那样形成系统的理论。
ACO algorithm is basically a multi agent system where low level interactions between single agents result in a complex behavior of the whole ant colony.
ACO算法本质上是一个多代理系统，在这个系统中单个代理之间的交互导致了整个蚁群的复杂行为。
An ant navigation based track initiation algorithm was proposed in this paper to overcome the existing problems in asynchronous passive sensor system.
针对异步被动传感器系统航迹起始困难的问题，提出了一种基于蚁群导航思想的异步被动传感器航迹起始算法。
The algorithm is based on the combination of quantum evolutionary algorithm (QEA) and ant colony system (ACS), a new algorithm, quantum ant colony algorithm (QACA) is proposed.
将量子群进化算法(QEA)与蚁群系统(acs)进行融合，提出一种新的量子蚁群算法(QACA)。
By theoretical analysis and experimental testing it proves that the ant colony algorithm used in this system can raise the recognition rate and is more efficient than traditional DTW algorithm.
经过理论分析与实验测试，证明了蚁群算法在这个系统中比传统的DT W算法更能提高识别率且更有效率。
The paper presents a new optimal layout for rectangular part method using ant colony system algorithm.
介绍了一种使用蚁群算法求解矩形件优化排料问题的新方法。
Finally, this thesis develops a dynamic vehicle scheduling system based on ant colony algorithm and compares this system with other dynamic vehicle scheduling systems.
最后，在以上研究的基础之上，开发了一套基于蚁群算法的动态车辆调度系统，并将此系统与其他动态车辆调度系统做了比较和分析。
An improved ant colony algorithm was presented, which aimed at the character of the taxi routing problem and the drawback of ant colony system applied in the planning of the transportation resource.
针对出租车路径规划问题的特点以及蚁群算法在这方面应用的一些不足，提出了一种改进的蚁群算法。
Such algorithms include evolutionary algorithm (EA), particle swarm optimization (PSO), artificial immune system (AIS) and ant colony optimization (ACO) and so on.
这类算法主要包括进化算法(EA)、粒子群算法(PSO)、人工免疫系统(ais)和蚁群算法(aco)等等。
The ant colony system is introduced and a new algorithm for TSP is presented. This algorithm is a distributed parallel algorithm with a new state transition rule and new global updating rule.
从介绍蚂蚁系统出发，提出了新的状态转移规则及全局修正规则，结合这些新规则设计出一个新算法，该算法是一个分布式并行算法。
The ant colony algorithm was used to design PID controller of traction control system, whose parameters could be adjusted automatically.
将蚁群算法应用于汽车牵引力pid控制参数整定控制器设计。
Aiming at the leakage and lose control of reading caused by network blindness which may happen to the system, the ant colony algorithm is used to make the communication between nodes go smooth.
针对远程抄表系统可能出现的网络盲态所造成的漏抄和失控，采用蚁群算法来保证网络各节点通讯顺畅；
The contrasting experiments on the typical traveling salesman problem (TSP) show that the proposed algorithm is better than standard ant colony system in speed and accuracy.
针对典型的旅行商问题(TSP)进行对比实验，验证了所提出的算法在速度和精度方面优于传统的蚁群系统。
Finally, the chaos ant colony optimization (CACO) algorithm is designed and used in reactive power optimization system.
本文研究设计了混沌蚁群优化算法(CACO)，并将该算法应用在无功优化系统中。
The program is developed according to the algorithm, system simulation is conducted on the proposed wireless sensor network routing algorithm that based on ant colony algorithm.
根据算法编制了程序，对所提出基于蚁群算法的无线传感器网络分簇路由算法进行系统仿真实验。
Therefore, based on the ant colony algorithm to achieve the integrated wiring system is of important significance, but also further enhance the level of intelligent building intelligent.
因此，实现基于蚁群算法的综合布线系统，有着重要的意义，也进一步提高了智能建筑的智能化程度。
A hybrid algorithm combining ant colony system with multi-choice Knapsack problem was proposed.
提出了一种蚁群系统与多选择背包问题融合的算法。
This system used an improved ant colony clustering algorithm to get hand center quickly, established relevant rendering system, and registered the virtual object.
利用一种改进的快速蚁群聚类算法来获取掌形的中心，建立相关的渲染坐标系，从而精确注册虚拟物体。
This system used an improved ant colony clustering algorithm to get hand center quickly, established relevant rendering system, and registered the virtual object.
利用一种改进的快速蚁群聚类算法来获取掌形的中心，建立相关的渲染坐标系，从而精确注册虚拟物体。
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