蚁群算法是一种新型的模拟进化算法，它通过模拟蚁群在觅食过程中寻找最短路径的方法来求解优化问题。
Ant Colony optimization (ACO) is a new-style simulating evolution algorithm. The behavior of real ant colonies foraging for food is simulated and used for solving optimization problems.
并在优化刀具选择和走刀路径等方面给出了加工过程的优化算法。
The optimized algorithm of machining process about moving route and reamer choice was introduced.
优化了最佳线路算法，使路径查询更加快速准确。
Optimize the best route algorithm, so that path query more quickly and accurately.
本文提出了一种基于蚁群优化算法求解路径规划问题的新方法及其实现。
This thesis puts forward a new method and implementation for the Path PlanningProblem based on ACOA (Ant Colony Optimization Algorithm).
理论分析和实验表明，该算法可以在较短时间内获得多条多目标优化路径。
Theoretical and experimental results show that the algorithm can obtain multiple multiobjective optimal paths within acceptable time.
由算法找出有向图最佳的访问路径和访问点，实现网站的优化。
Furthermore, by using an algorithm, the best visit routes and points can be found to optimize the websites.
提出一种在未知动态环境中进行启发式优化搜索的实时路径规划算法。
The paper proposed an optimal path-planning algorithm for dynamic environment with multiple robots (obstacles).
提供了一种有大量的客户数据，只需对部分客户进行带有时间窗要求的货物配送的优化路径选择算法。
A kind of algorithm is provided to choose the optimized route for freight delivery that involves a great deal of clients' data, but, only deals with a part of them with the request of time Windows.
对于这些路径采用遗传算法进行优化最终得到较优方案。
For these paths using genetic algorithms to optimize finally be a better programme.
本文将二者结合起来，研究了群智能优化算法在不同领域中路径规划规划问题的应用。
In this paper, several swarm intelligence optimization algorithm were applied in solving path planning problem in different fields.
提出了一种新型改进模拟退火算法，对移动机器人路径进行了全局优化。
The paper puts forward a new modified simulated annealing algorithm, which is used for mobile robot path planning.
该算法根据测量邻近点之间的曲率变化关系，优化选择测量点，生成测量路径和DMIS程序。
This algorithm can select appropriate measuring points to create the measuring path and DMIS program according to the curvature relationship between vicinity points.
此算法优化了磁头的移动路径，避免了I/O拥塞，并提高了系统性能。
This algorithm can optimize the movement path of the disk (?)ead, as well as avoid the I/O congestion and improve performance.
求解tsp问题是遗传算法应用的一个重要领域，其本质是TSP问题中巡回路径编码串的组合最优化问题。
Solving Traveling Salesman problem (TSP) is an important problem in Genetic Algorithm's Application, it is an optimization problem of the TSP path encoding in essence.
在拆卸路径规划模型中，以拆卸效率最优作为优化目标，给出了算法流程。
In the DSP model, the disassembly efficiency is used as objective function and the flow chart of the algorithm is presented.
对于未知环境下的路径规划，要求机器人有适应不同环境的能力，能针对不同环境自动调整规划算法以优化路径。
For path planning in the unknown environment, it is useful that the robot can modify its algorithm to optimize the path, so that it can be adaptive to different kinds of environments.
通过建立序交换元和序交换集对算法的操作算子进行改进，满足钻削路径优化问题中整数编码的需要。
And the operators are improved by establishing the Order Exchange Unit and Order Exchange List to satisfy the need of integer coding in drilling path optimization.
为了满足需求的动态实时的足球机器人在比赛中，提出了一种新的算法，提出了基于路径规划的深入研究了粒子群优化算法。
In order to meet the dynamic and real-time demands in the match of soccer robot, a new algorithm for path planning was advanced based on deeply researching the PSO algorithm.
本文分析了GIS环境下动态路径优化算法的特点，对GIS环境下城市路网的最优路径选择问题的关键技术进行了研究和验证。
This paper analyses some characters of dynamic path optimum algorithm, studies and verifies the key techniques of the optimum path of city road network under GIS.
建立了拣选路径的数学模型，明确定义了其目标函数以及约束条件，通过对拣选路径优化问题的数学模型的分析，采用基于字符编码的混合遗传算法来求解。
Furthermore under the analysis of such mathematic model of the sorting route optimum problem, that function is resolved by the application of the mix genetic arithmetic based on character code.
该算法的基本思路是边构造边调整路径，在调整中采用了独创的逆向调整方法，避免算法陷入局部优化陷阱。
During adjustment process, a creative method named reverse adjustment was adopted, to prevent the algorithm from being got in local optimization trap.
研究了AGV调度系统的调度规则及路径规划，采用遗传算法进行路径优化得到较优的行走路线。
The schedule rules and route planning of AGV schedule system are studied, and the more optimized routing is obtained with GA.
研究了AGV调度系统的调度规则及路径规划，采用遗传算法进行路径优化得到较优的行走路线。
The schedule rules and route planning of AGV schedule system are studied, and the more optimized routing is obtained with GA.
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