蚁群算法是一种新型的模拟仿生算法。
Ant Colony algorithm is a novel simulated evolutionary algorithm.
并重点讨论了蚁群算法对配送路线的优化。
And especially discusses the optimization of distribution route with ant colony algorithm.
论述蚁群算法在动态路径选择问题上应用。
The problem of dynamic route selecting by using ant colony algorithm was discussed.
该文应用多种群蚁群算法来解决这个问题。
In this paper, Multiple Ant Colony Optimization is applied to solve this problem.
最后总结了蚁群算法的特点和研究应用现状。
The characteristics, research and application situation of ACA were summarized finally.
蚁群算法在处理大规模优化问题时效率很低。
Two improvements on Ant Colony Optimization(ACO) algorithm is presented in this paper.
提出了一种基于蚁群算法的测试数据自动生成方法。
This study proposes a kind of automatic test data generation method based on ant colony algorithm.
蚁群算法是近年来新出现的一种随机搜索寻优算法。
Ant colony system is a novel emerged stochastic searching optimization algorithm in recent years.
本文提出一种基于蚁群算法的车辆导航系统模拟模型。
This paper presented a vehicle navigation system simulation model based on ant colony algorithm.
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 new heuristic optimization method and it has many merits.
本文提出了一种基于蚁群算法求方程组数值解的新方法。
A new method for resolving equation groups is proposed, which is based on Ant Colony System.
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。
Here we use the ant colony algorithm to solve the problem to find the shortest path to travel.
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。
The ant colony algorithm is a novel simulated evolutionary algorithm which shows many good properties.
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。
Ant colony algorithm gains a wide attention for its branch calculation and fast restraining abilities.
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。
An adaptive ant colony algorithm is presented for the optimization of multi-minimum continuous function.
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。
The paper presents a new optimal layout for rectangular part method using ant colony system algorithm.
本文采用蚁群算法实现了自由飞行空间机器人的避障路径规划。
Obstacle avoidance path planning for free flying space robot is realized by the use of ant algorithm.
证明了改进蚁群算法解决公交调度问题的高效性和较强的适用性。
It is proved that ACA is efficient and robust in solving transit scheduling problem.
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。
In response to this phenomenon, this paper describes the principle of ant colony algorithm and algorithm implementation process.
从而证明了蚁群算法应用于天然气输送管道的优化设计是可行的。
So it is proved the ant colony algorithms are feasible in the optimized design of gas transmission pipelines.
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；
Then, the recent applications of the ant colony algorithm in discrete optimization, data mining and other field are summarized.
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。
Power system restoration; Over-voltage prediction; Node importance; Ant Colony algorithm; Skeleton - network reconfiguration; Load recovery.
从随机优化技术出发，针对基本蚁群算法，提出了一种随机摄动蚁群优化算法。
A novel ant colony optimization algorithm with random perturbation behavior (RPACO) based on combination of general ant colony optimization and stochastic mechanism is developed in this paper.
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。
An adaptive parallel ant colony algorithm is presented by considering the critical factors influencing the parallelization of the ant colony algorithm.
而且定义了系统最大崩溃路径，并且提出了一种求解系统最大崩溃路径的蚁群算法。
An improved ant colony algorithm is presented to seek out the most possible collapse path after the collapse path is defined.
提出了一种求解群集机器人协作任务规划问题的均分点蚁群算法(EDPACA)。
An equal division point ant colony algorithm (EDPACA) was proposed to solve the swarm-robot mission planning problem.
提出了一种求解群集机器人协作任务规划问题的均分点蚁群算法(EDPACA)。
An equal division point ant colony algorithm (EDPACA) was proposed to solve the swarm-robot mission planning problem.
应用推荐