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。
Here we use the ant colony algorithm to solve the problem to find the shortest path to travel.
这里我们运用蚁群算法对问题进行求解找到最短的旅行路径。
Ant colony algorithm is a new heuristic optimization method and it has many merits.
蚁群算法是一种新型启发式优化算法，具有较多优点。
Ant Colony algorithm is a novel simulated evolvement algorithm solving complicated combinatorial optimization problem and its typical feature is swarm intelligence.
蚁群算法是一种新颖的求解复杂组合优化问题的模拟进化算法，它具有典型的群体智能的特性。
Ant colony algorithm gains a wide attention for its branch calculation and fast restraining abilities.
蚁群算法因其的分布式计算、快速收敛性能受到广泛的关注。
In this paper, we review ant colony algorithm and particle swarm optimization.
本文讨论了群集智能的两种算法，蚁群智能与微粒群智能。
The ant colony algorithm is a novel simulated evolutionary algorithm which shows many good properties.
蚁群算法是一种模拟进化算法，该算法具有许多优越的性质。
By using the intrinsic characters of this model, we design four types of heuristic information for bid and two problem solvers: the binary ant colony algorithm and the greedy algorithm.
因此本文针对标的本身的结构提出了四种启发式信息及两种求解器：二元蚁群算法及贪婪算法。
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。
We use the projection pursuit model based on the improved ant colony algorithm to analyze the status of the water quality of the Dongting Lake in 2001.
在对洞庭湖的水质状态进行分析时，运用基于改进蚁群算法的投影寻踪评价模型对其2001年的水质状态进行评价。
In response to this phenomenon, this paper describes the principle of ant colony algorithm and algorithm implementation process.
针对这个现象，本文首先介绍了蚁群算法的原理及算法实现过程。
To get the optimum solution for the planning, I construct a model of resource optimization for spliced network planning, and design Adaptive Ant Colony Algorithm to solve it.
为得到最优计划方案，针对搭接网络计划，建立了资源均衡优化的数学模型，并设计了自适应蚁群系统的求解算法与实现过程。
It adopts 2-interchange mutation operator in ant colony algorithm to increase its ability of local search and to improve the quality of the solution.
该算法通过在蚁群算法中引入遗传算法的2 -交换变异算子，增强了算法的局部搜索能力，提高了解的质量。
Using the idea of both ant colony optimization algorithm and particle swam optimization algorithm, a continuous domains ant colony algorithm for solving constrained optimization problem was proposed.
借鉴蚁群优化算法和粒子群优化算法的思想，提出了一种用于求解约束优化问题的连续域蚁群算法。
Then, the recent applications of the ant colony algorithm in discrete optimization, data mining and other field are summarized.
然后总结了近年来蚁群算法在组合优化、数据挖掘等领域的应用进展；
Ant Colony algorithm is a novel simulated evolutionary algorithm.
蚁群算法是一种新型的模拟仿生算法。
Ant Colony Algorithm (ACA) is an intelligence-optimized algorithm coming from the illumination of food-seeking behavior by ants based on the shortest route of daumone.
蚁群算法是受自然界蚂蚁觅食过程中，基于信息素的最短路径搜索食物行为启发，提出的一种智能优化算法。
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。
And especially discusses the optimization of distribution route with ant colony algorithm.
并重点讨论了蚁群算法对配送路线的优化。
An adaptive parallel ant colony algorithm is presented by considering the critical factors influencing the parallelization of the ant colony algorithm.
本文根据影响并行蚁群算法性能的关键因素，提出了一种自适应的并行蚁群算法。
Ant colony algorithm is one of the simulation evolution algorithms, when mining the visiting pattern of the special crowd interested in, the pattern we got can be objective a.
蚁群算法是一种模拟进化算法，在挖掘特定用户群感兴趣的访问模式时，采用蚁群算法得到的模式会比较客观准确。
To improve the precision and efficiency of rolling force prediction on tandem cold rolling mill, a neural network model combined with ant colony algorithm is presented.
为提高冷连轧机轧制力的预报精度和预报速度，用蚁群算法和神经网络相结合的方法进行轧制力预报模型设计。
The paper proposed an algorithm based on ant colony algorithm for mining classification rule from the Student Scores Management Database.
本文采用一种基于蚁群算法的分类规则挖掘算法，其特征实质上是一种序列覆盖算法。
An adaptive ant colony algorithm is presented for the optimization of multi-minimum continuous function.
针对多极值连续函数优化问题，提出了一种自适应蚁群算法。
Then, the thesis USES ant colony algorithm which is based on the elicitation of ant's feeding to solve the clustering problem.
然后成功地将聚类问题转换成蚁群求解问题，并使用基于蚂蚁觅食启发的蚁群算法进行聚类分析。
Then, the thesis USES ant colony algorithm which is based on the elicitation of ant's feeding to solve the clustering problem.
然后成功地将聚类问题转换成蚁群求解问题，并使用基于蚂蚁觅食启发的蚁群算法进行聚类分析。
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