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hierarchical problems
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  等级问题
     In order to test the performance of COMAEA on solving large-scale problems, COMAEA is used to solve deceptive problems and hierarchical problems with thousands of dimensions, and its computational complexity is analyzed.
     为了测试算法解决大规模问题的能力 ,作者还将算法用于解决上千维的欺骗问题和等级问题 ,结果表明该文算法的计算复杂度与问题规模成多项式的关系 .
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  相似匹配句对
     SEVERAL PROBLEMS OF HIERARCHICAL CONTROL
     关于递阶控制的几个问题
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     Problems
     问题
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     Hierarchical Optimization Problems in Product Family Design
     产品族设计中的层次优化问题
     PROBLEMS &SUGGESTIONS
     问题与建议
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     The Hierarchical Organization of the Networking
     网络化的层级组织
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  hierarchical problems
This kind of hierarchical problems have been previously analyzed only with regard to linear programming problems by Benson[6].
      
Different approaches to studying hierarchical problems are compared with the use of a two-stage dynamic model of water quality control in the case of point pollution sources.
      
We evaluate XCS performance on the proposed hierarchical problems to evaluate and compare both offspring generation methods.
      
The models can be used for both successively inclusive and exclusive hierarchical problems.
      
This indicates that a weighted-sum approach cannot be applied universally to hierarchical problems.
      
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The intelligent generation for the inspection planning of parts plays an important role in-preparing the information for inspecting operations based on quality control procedures.Thispaper,from the angle of methodology and software realization,introduces a feature-basedexpert inspection planning system for coordinate measuring machines,A new event-drivenmodel of hierarchical problem solving and the correspondent method for achieving the for-malization of structured junctions are put forward.Based on this...

The intelligent generation for the inspection planning of parts plays an important role in-preparing the information for inspecting operations based on quality control procedures.Thispaper,from the angle of methodology and software realization,introduces a feature-basedexpert inspection planning system for coordinate measuring machines,A new event-drivenmodel of hierarchical problem solving and the correspondent method for achieving the for-malization of structured junctions are put forward.Based on this model,a prototype expertsystem, named MEASPI,AN,has been developed successfully.Furthermore,an example touse MEASPItAN for solving the problem of inpsection planning is given.

在计算机集成制造环境下,零件检测规程的智能化生成是产品质量控制过程中一种占据极重要地位的检测预准备模式。文章从方法论和软件实现两角度出发,论述了用于坐标测量机的基于特征的检测规划专家系统MEASPLAN,提出了一种事件驱动的层次式检测规划智能问题的求解模型和相对应的结构化的知识形式化的方法,同时,亦给出了其在求解具体检测规划问题中的应用。

A systematic method is provided for a hierarchical problem which all the lowest indices are statistic ones. Moreover, the general numerical results for the whole of objectives and each single one respectively provided.

主要针对多目标评价问题中,构成评价指标体系的最低层指标均为统计型(数值)指标的问题进行了讨论,给出了系统的研究方法.最后分别就各评价对象的单一实力与整体实力水平给出综合评价结果.

The eigenvector method (EM) proposed by T.L.Saaty has been popularly used at each branching of the Analytic Hierarchy Process (AHP). It is an especially effective tool for analyzing hierarchical problems. In this paper, we present a least perturbations method (LPM) to derive the priority vectors of judgement matrices and give a simple convergent iterative algorithm and some numerical examples. The LPM is preferable to the EM in several important respects. Theoretical analysis and the numerical results...

The eigenvector method (EM) proposed by T.L.Saaty has been popularly used at each branching of the Analytic Hierarchy Process (AHP). It is an especially effective tool for analyzing hierarchical problems. In this paper, we present a least perturbations method (LPM) to derive the priority vectors of judgement matrices and give a simple convergent iterative algorithm and some numerical examples. The LPM is preferable to the EM in several important respects. Theoretical analysis and the numerical results all show that the LPM is feasible and effective.

Saaty提出的特征向量排序方法(EM)已被广泛应用于层次分析(AHP)中.本文提出一种判断矩阵排序的最小扰动法(LPM),并给出一个收敛性迭代算法和一些算例.LPM在几个重要方面优于EM.理论分析和数据结果表明:LPM是一种可行且有效的排序方法.

 
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