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。
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 is a novel simulated evolutionary algorithm.
蚁群算法是一种新型的模拟仿生算法。
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。
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。
Ant colony algorithm is a novel simulated evolutionary algorithm based on group cooperation and can be applied to solve hard discrete combinatorial optimization problem.
蚁群算法是基于群体合作的一类仿生算法，适合于解困难的离散组合优化问题。
Ant Colony algorithm is a novel heuristic algorithm to solve complicated optimization problems.
蚁群算法是一种新型求解复杂优化问题的启发式算法。
Ant colony algorithm is a new intelligent optimization algorithm for solving combinatorial optimization problem or function optimization problem.
蚁群算法是一种新型的用于求解组合优化或函数优化问题的智能优化算法。
Combining PSO and ACS, the proposed algorithm can effectively avoid the local optima of PSO algorithm and the blindness search of ant colony algorithm.
该算法通过在粒子群算法中引入蚂蚁算法，可有效克服粒子群算法后期的局部搜索能力差和蚁群算法前期盲目搜索的缺陷。
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。
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。
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。
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。
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；
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。
This study proposes a kind of automatic test data generation method based on ant colony algorithm.
提出了一种基于蚁群算法的测试数据自动生成方法。
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。
The ant colony algorithm has good adaptability when solving combined optimization problems, it isn t very good for continuous optimization problems.
蚁群算法在解决组合优化问题上有着良好的适应性，但直接应用于求解连续优化问题难以获得理想的效果。
Furthermore, according to the features of the pheromone strewing when solving the problem by ant colony algorithm, the strewing method and updating strategy of pheromone were reconstructed.
此外，根据蚁群算法处理本问题时信息素散播的特点，重构了信息素的更新策略和散播方式。
Ant colony algorithm was introduced and applied to solve the problem of distribution routing planning for supply chain depot.
介绍并运用蚁群算法来求解供应链节点间配送路径安排问题。
As algebra way and map way can not simplify the given large scale logical function, a new way using Ant Colony Algorithm to simplify large scale logical function is put forward.
针对代数法和卡诺图法难以化简规模很大的逻辑函数问题，提出使用蚁群算法处理大规模逻辑函数化简。
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。
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。
After comparison with the conventional ant colony algorithm found that the new algorithm has been significantly improved in the solution quality.
实验结果表明新算法在求解质量上比传统蚁群算法有了明显提高。
After comparison with the conventional ant colony algorithm found that the new algorithm has been significantly improved in the solution quality.
实验结果表明新算法在求解质量上比传统蚁群算法有了明显提高。
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