在大范围海洋环境中，应用蚁群算法对自主式水下潜器(AUV)的全局路径规划问题进行了研究。
Global path planning problem for autonomous underwater vehicle (AUV) based on large-scale chart data is investigated by using ant colony optimization (in shorts, ACO) algorithm.
目前对有约束非线性规划问题还没有通用的求全局最优解的算法。
Currently, there is no general algorithm to find the global optimal solution for the constrained non-linear programming problems.
对广泛应用于金融及经济等实际问题中的一类带有多乘积约束的线性规划问题提出一种全局优化算法。
In this paper a global optimization algorithm is proposed for some programming problem (p) with additional multiplicative constraints, which can be applied to finance and economics and so on.
因此，迫切需要从全局出发对企业的信息系统进行规划与整合。
Thus, the urgent need to proceed from the overall situation of enterprise information systems planning and integration.
从移动机器人运动能量损耗的角度对移动机器人全局环境未知时的路径规划问题进行了探索，提出了一种新的基于局部最小能量的路径规划算法。
The robot path planning under unknown plane environments is reviewed from an energy-consuming viewpoint, and a novel path planning algorithm based on the local minimum energy is proposed.
方法分析总体数据资源建设现状及存在的问题，并对全局信息资源规划和信息标准化等方法策略进行分析。
Methods Analyzing the current status and problems, and exploring the methods, such as general information resource plan and information standardizing.
在配电系统规划中，接线模式的选择对配电系统规划的全局起着重要的作用。
In distribution system planning, it plays an important role to choose proper connection modes.
该算法采用分层思想，将局部规划与全局规划相结合，并对代价函数进行了改进，在保证航迹优化的基础上，提高了搜索效率。
The algorithm uses the thought of delamination, makes local planning and global planning combination, and improves cost function, finally with ensuring optimal trajectory increases search efficiency.
该算法采用分层思想，将局部规划与全局规划相结合，并对代价函数进行了改进，在保证航迹优化的基础上，提高了搜索效率。
The algorithm uses the thought of delamination, makes local planning and global planning combination, and improves cost function, finally with ensuring optimal trajectory increases search efficiency.
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