The path optimization problem belongs to combinatorial optimization problems, which is solved generally by using heuristic search algorithm.
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。
In this paper, several swarm intelligence optimization algorithm were applied in solving path planning problem in different fields.
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。
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.
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。
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.
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。
The path packing problem is an optimization problem with many important applications. However, it is NP-hard in computational complexity.
图的路包装问题是一类有着重要应用背景的最优化问题，然而它在计算复杂度上是NP-困难的。
According to the cutting path planning problem of the coal shearer, the paper provided the particle swarm triple spline optimization for the cutting path planning method of the coal shearer.
针对采煤机截割路径的规划问题，提出了粒子群三次样条优化的采煤机截割路径规划方法。
Optimization of cutting path in complex shape machining of CNC machine tools under high speed and accuracy condition is a crucial problem.
走刀轨迹的优化对复杂型面的高速高精度加工起着十分关键的作用。
Tool-path airtime optimization during multi-contour processing in leather cutting is regarded as generalized traveling salesman problem. A hybrid intelligence algorithm was proposed.
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。
The improved particle swarm optimization algorithm is applied to path planning problem in 3-D space.
将改进粒子群优化算法应用于三维空间路径规划。
The improved particle swarm optimization algorithm is applied to path planning problem in 3-D space.
将改进粒子群优化算法应用于三维空间路径规划。
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