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heuristic search algorithm
相关语句
  启发式搜索算法
     AND/OR GRAPH HEURISTIC SEARCH ALGORITHM NAO BASED ON NORM S
     模S下的AND/OR图的启发式搜索算法NAO
短句来源
     Research of Fuzzy Generalized And/OrGraph(Ⅲ)——Parallel Fuzzy Heuristic Search Algorithm LIDFAO
     模糊广义与或图的研究(Ⅲ)——并行模糊启发式搜索算法LIDFAO
短句来源
     Backward Heuristic Search Algorithm BHAO~* for General AND/OR Graph
     广义AND/OR图的自底向上启发式搜索算法BHAO~*
短句来源
     Research for Fuzzy Generalized And/Or Graph ( Ⅱ )-Fuzzy Heuristic Search Algorithm LFAO~* with Linear Space
     模糊广义与或图的研究(Ⅱ)——具有线性存贮空间的模糊启发式搜索算法LFAO~*
短句来源
     Research for Fuzzy Generalized And/Or Graph(Ⅰ)-Fuzzy Heuristic Search Algorithm FAO' and FAO
     模糊广义与或图的研究(Ⅰ)——模糊启发式搜索算法FAO~*′和FAO~*
短句来源
更多       
  启发式算法
     Based on the shared memory multiprocessing environment (MIMD-SM) ,the parallel algorithm PNAO (parallel NAO) of the heuristic search algorithm NAO for newly-defined And/Or graph is presented, and the parallel algorithm PBHAO(Parallel BHAO) of the heuristic search algorithm BHAO for generalized And/Or graph is also defined.
     本文根据共享存储器的多处理机模型MIMD—SM,提出了基于新AND/OR图的并行启发式算法PNAO及基于广义AND/OR图的并行启发式算法PBHAO.
短句来源
     In rectangle parts nesting, rectangle parts grouping algorithm is developed for nesting pattern number optimization, and genetic algorithm incorporated with heuristic search algorithm is used for rectangle parts nesting optimization.
     在矩形件组合排样算法中提出了矩形件分组算法用于排样方案数量优化,以满足生产计划要求; 遗传算法与启发式算法相结合应用于矩形件优化排样。
短句来源
  “heuristic search algorithm”译为未确定词的双语例句
     0-1 Goal programming model and its heuristic search algorithm for publishing schedule of periodical
     稿件刊发计划的0-1目标规划模型及搜索算法
短句来源
     0-1 Goal programming model and its heuristic search algorithm for publishing schedule of periodical
     稿件刊发计划的0-1目标规划模型及搜索算法
短句来源
     EPA~* ALGORITHM ——A HEURISTIC SEARCH ALGORITHM BASED ON CAUSE ESTIMATING AND HEREDITY PROPAGATING
     基于原因估计和继承传播计算启发函数值的搜索算法——EPA算法
短句来源
     A Stochastic Heuristic Search Algorithm for Suppressing Noise in Edge Extraction
     提取图像边缘过程中抑制噪声的随机启发搜索算法
短句来源
     Based on this, A new AND/OR graph heuristic search algorithm NAO* is presented.
     本文的结论表明:NAO算法与AO算法有本质的不同;
短句来源
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  heuristic search algorithm
To find the best model, we use a heuristic search algorithm in which the structure is determined incrementally.
      
This paper explores the use of the meta-heuristic search algorithm Simulated Annealing for solving a minimum cost network synthesis problem.
      
A system-wide multi-commodity integer network flow model and a heuristic search algorithm for the above purpose are presented and discussed in this paper.
      
We develop an approach for implementing a real time admissible heuristic search algorithm for solving project scheduling problems with resource constraints.
      
The genetic algorithm (GA) is known to be a modern heuristic search algorithm, and is suitable for solving such a problem.
      
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This paper presents an efficient heuristic searching algorithm, along with relative proof. The advantage of this algorithm is that the searching time and space are not connected with the size of the maze space, but with the relative position between the obstacles only. If we neglect some secondary factors, the searching time and space will only be the linear functions of the optimal path.

本文给出一个高效的启发式搜索算法和有关证明。本算法的优点是搜索的时间和空间,与迷宫空间的大小无关,仅与障碍的相对位置有关。如果忽略一些次要的因素,搜索的时间和空间仅是最佳路径的线性函数。

Under certain hypothesis a heuristic search can be considered as a random sampling process. Thus, it is possible to transfer the statistical inference method to the heuristic search. Based on the idea above, in [1] -[4] we have incorporated some specific statistical inference method into heuristic searches, and obtained some new statistical heuristic search algorithms - SA, WSA etc. The characteristics and the details of the algorithms have also been discussed.In...

Under certain hypothesis a heuristic search can be considered as a random sampling process. Thus, it is possible to transfer the statistical inference method to the heuristic search. Based on the idea above, in [1] -[4] we have incorporated some specific statistical inference method into heuristic searches, and obtained some new statistical heuristic search algorithms - SA, WSA etc. The characteristics and the details of the algorithms have also been discussed.In this paper we go further into the subject and discuss the combination of the two techniques over a wider range.

在一定的假设下,可以把启发式搜索看作一种随机取样的过程,从而可以把统计推断方法引进搜索。根据上述思想,我们在文[1—4]中,讨论了个别统计推断法与一般图(或树)搜索的结合,得到一些新的统计启发式搜索算法——如SA,WSA算法等,探讨了这类算法的优点及程序细节,本文将从理论上进一步阐述这一思想,并从更广泛的范围讨论这两种技术的结合问题。

This paper describes a new heuristic search algorithm with modifiable estimate.This algorithm uses the information gathered by node expansions to improve theheuristic estimate and so it keeps the so called‘consistency assumption’holding on thesearch tree constantly.The new algorithm is admissible and it reduces the worst casecomplexity of search from O(N~2)of algorithm B′(L.Méró,1984)to its O(N).(N isthe size of the searched graph.)In the other part of the paper,a comparison...

This paper describes a new heuristic search algorithm with modifiable estimate.This algorithm uses the information gathered by node expansions to improve theheuristic estimate and so it keeps the so called‘consistency assumption’holding on thesearch tree constantly.The new algorithm is admissible and it reduces the worst casecomplexity of search from O(N~2)of algorithm B′(L.Méró,1984)to its O(N).(N isthe size of the searched graph.)In the other part of the paper,a comparison between algorithm B' and the newalgorithm is made.

本文描述了一个能够改善启发函数的启发式图搜索算法。它利用搜索过程中的信息,改动启发函数 h,保持搜索树上始终满足单调限制条件,使算法的最坏复杂度从 B′的 O(N~2)(L.Mér(?),1984)降为 O(N)。本文还证明了新算法的可采纳性、线性的复杂度,并同算法 B′作了性能比较。

 
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