免疫算法是一种新型的随机启发式搜索算法。
Immune algorithm is a stochastic heuristic optimization algorithm.
本文给出一个高效的启发式搜索算法和有关证明。
This paper presents an efficient heuristic searching algorithm, along with relative proof.
本文提出了一种以诊断加权数为信息的分级启发式搜索算法。
A staged searching algorithm with diagnostic weight sums as heuristics is presented in the paper.
在此基础上，采用启发式搜索算法对模糊控制器比例因子在线调整。
Thereafter, the scaling factor of FC is adjusted on-line by means of heuristic search algorithm.
详细研究了启发式搜索算法的产生、构造方法、基本类型等几个方面。
The study includes the generation, construction methods and basic types of heuristics search algorithms.
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.
定向搜索是一种启发式搜索算法，它是对减少内存需求的最佳优先搜索的优化算法。
Beam search is a heuristic search algorithm that is an optimization of best-first search that reduces its memory requirement.
基于从该位置管理方案获取的全网拓扑信息，采用启发式搜索算法实现最优地理路由。
Based on the whole network topology information obtained by the K-hops clustering location management scheme, it adopts a heuristic search algorithm to realize optimal geo-routing.
针对该问题，提出基于启发式搜索算法的查询优化方案并成功应用于原有的查询系统。
In order to improve the search efficiency, this paper presents an optimization solution based on heuristic search algorithm and applies it in the original system successfully.
通过启发式搜索算法使增加的额外约束得到最大化满足，从而寻找到符合用户意图的解。
The heuristic searching algorithm maximizes the fitness of the additional constraint set, thereby reaches the final result that can satisfy the user's expectation.
文中提出了一个随机启发式搜索算法，它能够有效地抑制噪声，从而连接到连续的边缘。
We propose a stochastic heuristic search algorithm that can suppress the noise, thus linking edge points effectively to form a continuous edge.
提出了以正向链接为主导的启发式搜索算法（HFCA），有效减低了传统纯反向链搜索的无序性。
The Heuristic Forward-Chaining Algorithm (HFCA) for the searching of delegation chain is proposed, which effectively ease the blindness in pure backward-chaining algorithms.
在综合分析路径规划研究的基础上，采用基于概率地图的路径规划方法，运用启发式搜索算法对水果收获机器人机械臂运动路径进行实时规划。
In research of path planning of fruit picking robot the probabilistic roadmap method is adopted to achieve on-line planning with heuristic search arithmetic.
通过将启发式策略中的定向策略与层次空间推理策略相结合，模拟树的生长，提出了一种有效路径的定向层次空间推理搜索算法。
Combining the orientation of searching the route and the strategy of spatial hierarchical reasoning, an orientated tree algorithm of efficient paths is proposed by simulating the trees growing.
然后，用启发式宽度优先搜索算法进行路径规划，产生从初始位置到目标位置的最优路径，引导虚拟人对环境进行漫游。
Then, a heuristic breadth-first search is applied for path planning to find an optimal path from an original position to an aim, directing virtual human walkthrough in environments.
该算法由启发式封闭轮廓搜索算法和基于规则的深度填充算法两部分组成。
The algorithm consists of two parts: a heuristic enclosed contour searching algorithm and a rule based depth fill-in algorithm.
包括启发式路径搜索算法、基于原始-对偶算法的最优路径选择算法、信道分配调整算法等三个部分。
This algorithm consists of heuristic-based search algorithm, primal-dual-based optimal path selection algorithm and channel assignment adjustment algorithm.
在此基础上，提出了采用虚拟矩阵匹配搜索二叉树以确定领域式规划空间中邻接关系的方法，并描述了启发式方法和概率方法相结合的路径搜索算法。
And then associating with the virtual array elements, this article improves the algorithm and an improved space-time virtual DOA array method has been made.
在此基础上，提出了采用虚拟矩阵匹配搜索二叉树以确定领域式规划空间中邻接关系的方法，并描述了启发式方法和概率方法相结合的路径搜索算法。
And then associating with the virtual array elements, this article improves the algorithm and an improved space-time virtual DOA array method has been made.
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