雕刻切割路径最优化，为用户提供多种路径优化方式。
Carving cutting path optimization, to provide users with a variety of route optimization methods.
运用空间路径优化，根据评价机动代价来优化机动过程。
Finally, the path was optimized in the parameters space according to evaluate the cost of maneuver.
拣货路径优化问题在提高物流中心效率中具有重要的作用。
The optimization of order-picking routing problem in raising the efficiency of logistics centre has an important role.
最后，将算法运用于实际的物流管理中的配送路径优化问题。
The other aspect is an exercise in application field, Problem for Logistic Distribution.
多式联运路径优化对于降低企业成本、提高竞争力具有重要意义。
Intermodal path optimization is significant for enterprises to reduce costs and improve their competitiveness.
首先，将整个曲面作为搜索空间，路径长度作为目标函数，设定了路径优化问题。
First, curved surface is considered as the search field and the length of route as the objective function, thus the optimization problem of route is set.
现代企业国有产权资源运行效益递增，有赖于企业国有资源交易配置的路径优化。
The performance of state-owned property right recourses of the modern enterprises depends on optimizing the route of the distribution of property right resources.
这对于应急物流车辆驾驶员来说，传统的静态路径优化已经不能满足应急的要求。
Therefore, for emergency logistics vehicle drivers, the traditional static route optimization has been unable to meet emergency requirements.
路径优化问题属于组合优化问题，而解决组合优化问题一般使用启发式搜索算法。
The path optimization problem belongs to combinatorial optimization problems, which is solved generally by using heuristic search algorithm.
城市交通网络中出行车辆从起点到终点的路径优化问题是智能交通研究的重要课题。
The route optimization for the vehicle going from the origin to the destination in traffic network is an important issue in intelligent traffic research.
解决此类问题的步骤是首先建立路径优化的数学模型，然后使用优化算法进行求解。
The steps to solve such problems is to establish the mathematical model of path optimization at first, and then to solve using algorithms.
通过对运输路径优化，我们可以提高企业的运作效率，降低配送成本，实现物流科学化。
Through the optimization of the transport path, we can improve the operational efficiency of enterprise and reduce distribution costs, achieve scientific logistics.
此部分是本文研究的重点：首先，建立有时间窗物流配送路径优化问题的数学模型基础。
Research on the paper will importantly focus on:Firstly, we will construct the mathematic model of optimizing of physical distribution routing problem with time windows.
通过对物流车辆配送过程的分析，建立了带时间窗约束的物流配送路径优化问题的数学模型。
A mathematical model of logistics distribution route with time window was proposed according to the analysis of the logistics vehicle distribution process.
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.
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.
路径优化是物流配送中智能调度系统的核心问题，其中最典型的问题模型就是旅行商问题即TSP问题。
As an essential question of the intelligent distribution system, route optimization has many problem-solving models, the most typical one is Traveling Salesman problem (short for TSP).
而且具体的车辆路径优化问题，往往在时间和路程两方面都有限制和要求，而在这方面的研究相对较少。
Faced to concrete routing problem, time and routs are both restricted and required and researches in this field are not enough.
根据多相粒子群并行搜索的思想，给出mpso算法在带软时间窗物流配送车辆调度路径优化的实现流程。
By means of the idea of parallel search, the detailed procedure of the MPSO algorithm is given for solving vehicle scheduling problem with soft time Windows.
针对室内移动机器人导航问题，提出一种包括全局规划层、局部路径优化层、反应式导航控制层的导航策略。
A strategy based on global planning layer, local path optimizing layer and reactive navigation controlling layer is presented for indoor mobile robot navigation.
同城配送历来是现代物流中的难点，部分研究集中在如何利用配送路径优化技术、GIS等高尖端技术的应用。
Being a hard problem to tackle in logistics, city distribution has current research efforts focused on how to optimize distribution routes, building gis infrastructure, etc.
在对经典路径优化算法性能进行分析的基础上，指出了现有路径优化算法在大规模路网条件下实时性差的问题。
The analysis of the traditional traffic path optimization algorithms showed that their realtime capability appear insufficient under the largescale road network conditions.
将皮革裁剪多轮廓加工空行程路径优化问题归结为广义旅行商问题，提出了一种求解问题的混合智能优化算法。
Tool-path airtime optimization during multi-contour processing in leather cutting is regarded as generalized traveling salesman problem. A hybrid intelligence algorithm was proposed.
结合“循环打开”和“路径优化”两大硬件优化技术，提出基于FPGA的SHA系列加密算法的高速实现方案。
A new high-speed implementation of SHA which is based on FPGA is proposed, combining two popular hardware optimization techniques, namely "partially unrolling" and "path optimization".
结合“循环打开”和“路径优化”两大硬件优化技术，提出基于FPGA的SHA系列加密算法的高速实现方案。
A new high-speed implementation of SHA which is based on FPGA is proposed, combining two popular hardware optimization techniques, namely "partially unrolling" and "path optimization".
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