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constraint satisfaction中文是什么意思

  • 约束补偿, 受限制满足
  • 约束满足

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  • 例句与用法
  • Study on university courses arrangement based on constraint satisfaction
    基于约束满足的高校排课问题研究
  • Efficient sequential pattern mining algorithm based on average value constraint satisfaction pruning strategy
    基于均值约束满足度剪枝策略的高效序列模式挖掘算法
  • The intelligent fixing test paper is a process of the problem of constraint satisfaction based on a typical relational database
    摘要智能组卷是一个典型的基于关系数据库多约束满足的问题求解过程。
  • As with other engineering design , die design is , by its nature , a constraint satisfaction problem , how to tailor design space in accordance with constraints
    冷冲模设计同其它工程设计一样,本质上是一个约束满足问题,其实质就是多个约束条件裁减设计空间。
  • For this reason , the thesis presents an approach based on constraint satisfaction , symbolic execution and extended finite state machines . it can analyze programs written in a subset of the c programming language
    针对上述情况,本文中提出了一种方法,它基于约束满足问题求解方法和扩展有限状态机上的符号执行算法,能够对c语言子集描述的程序进行分析。
  • Artificial neural network is a new active member of all intelligent optimization methods . based on previous constraint satisfaction neural networks , this thesis applies a new constraint satisfaction neural network ( csnn ) for job - shop scheduling problems . based on the general model of nerve cell , the csnn declares 3 types of nerve cells as following : ( 1 ) st ( starting time ) cells , ( 2 ) sc ( sequence constraint ) cells and ( 3 ) rc ( resource constraint ) cells
    本文对csnn以及jsp问题的讨论分为三个阶段:第一阶段讨论了基本的csnn网络在jsp问题中的应用;第二阶段以前一阶段为基础,将3个启发式算法加入到csnn网络中,这3个启发式算法可以单独使用或混合使用;第三阶段给出了广义作业车间调度问题的概念,并讨论了基本的以及加入了启发式算法的csnn网络在广义作业车间调度问题上的应用。
  • I regard qsim as a kind of constraint satisfaction problem ( csp ) , and improve the qualitative simulation algorithm by constraint logic programming ( clp ) . fuzzy qualitative simulation develops conventional qsim on several facets , such as representation of qualitative value , state transition rule and filtering algorithms . it bridges the gap between pure qualitative and quantitative , and improve the efficien
    前者是将定性仿真算法看作一类约束满足问题,用约束逻辑程序加以改进,不仅为解决定性仿真问题提供了逻辑框架,而且也是一种规范化的程序描述语言;模糊定性仿真算法则是对纯定性仿真算法在知识描述、状态转移规则、过滤算法等方面的改进,是一类半定量描述方法,有利于在定性仿真领域综合定量信息,同时提高算法的效率。
  • Pretreatment is used to generate alternate activities to achieve the requirements . theproblem after pretreatment is characterized as a constraint satisfaction problem , which is solvedby the local search algorithm based on dynamic priority . the solution means to specifycorrespondingactivitiesforeveryrequirementandtoallocateexecutingtimeandresources . in order to validate the modeling framework presented in this paper , a software system isdesigned to implement the mission planning and scheduling for msrs
    预处理过程自动生成完成任务需求的候选活动集;预处理之后的问题被描述为一个约束满足问题,通过基于动态优先级的局部邻域搜索算法完成问题的求解,即为每个需求指定相应的活动,并为这些活动安排执行时间并指派资源。
  • This paper presents a generalproblem - solving framework for modeling multi - issue multilateral negotiationusing fuzzy constraints . agent negotiation isformulated as a distributed fuzzy constraint satisfaction problem dfcsp . fuzzy constrains are thus used to naturally represent each agent s desiresinvolving imprecision and human conceptualization , particularly when lexicalimprecision and subjective matters are concerned
    随着网际网络的快速发展,信息社会的来临,人们期望能随时随地相互连系交换讯息以取得所需的信息,造成目前的信息环境具有开放巨大及异质的特性。
  • To explain how to use the heuristics information of the problem to construct constraint - based solving algorithm , the general constraint satisfaction solving technology was briefly introduced , then the principles and the applicability of constraint propagation algorithm , tree search algorithm and heuristics repair algorithm for job shop scheduling were summarized
    摘要为了说明如何利用启发式信息构造车间调度的约束满足求解算法,首先概述了常规约束满足求解技术,进而介绍了车间调度问题的约束传播算法、树搜索算法和启发式修复算法的构造原理及适用性。
  • 百科解释
In artificial intelligence and operations research, constraint satisfaction is the process of finding a solution to a set of constraints that impose conditions that the variables must satisfy. A solution is therefore a vector of variables that satisfies all constraints.
详细百科解释
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Last modified time:Wed, 13 Aug 2025 00:29:56 GMT

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