The representations of the " problem space " and " solution space " were abstracted from their characteristics , and the limitations of the programming were discussed from several typical problems 根据“问题空问”和“方案空间”的特点，对它们的表示方法进行了抽象，并从一些有代表性的问题入手，对有关程序功能的局限性进行了分析和讨论。
This thesis transforms the 19 objects and their relations abstracted from ooa into the classes and relations in the problem space , and describes the classes in detail . the development of design software about gcs is necessary to the construction trade 本论文将分析过程中抽象而来的19个对象及其相互之间的关联转化为问题空间中的类和关联，并对问题空间类进行了详细的描述。
The development of the design software about gcs utilizes object - oriented analysis ( ooa ) to abstract 19 objects from the things in the problem space . the 19 objects " abstraction and description is the important base of the design software about gcs 综合布线设计软件开发采用面向对象分析方法，将问题空间中的事物抽象为19个对象，这19个对象的抽象和描述是综合布线设计软件开发的重要基础。
Its foundation absorbs the cooperatively evolution idea of hybs & gero ' s disjunction of problem space and solution space , and the ideology of collaboration in parallel engineering . it divides engineering optimization task to scheme design and detail design 该算法吸收了hvbs & cero提出的问题空间与解空间分离协同演化( co - evolution )的思想以及并行工程的协同设计思想，将工程优化任务分解为方案设计和细部设计两部分。
Furthermore , we assert that while grid technologies are currently distinct from other major technology trends , such as internet , enterprise , distributed , and peer - to - peer computing , these other trends can benefit significantly from growing into the problem space addressed by grid technologies 此外，我们肯定网格技术不同于当前许多其他技术方向，比如因特网、企业、分布式、点到点计算，但这些其他的方向能因成为网格计算的问题域而获益匪浅。
In this paper , i try to construct a new model of mcai , which the core was to create learning environment based on problem exploring , to create problem space , to present and find problem and to explore independently learning by means of researching anchored instruction , generative learning theory , problem - based learning , finding learning and multimedia computer and internet . the design on problem - based exploring mcai base on the newest research of learning theory , instruction design and development soft of cai 问题探索型mcai以“探索性学习”为设计基础，通过对建构主义的“抛锚式”教学法、维特罗克的生成学习理论、布鲁纳的发现式学习和barrow的问题式学习理论等的研究，借助于多媒体计算机网络技术，力图建构以“创设问题探索的学习环境、创建问题空间、呈现或发现问题、学生自主探索”为核心的新型mcai设计模式，通过增加cai课件开发中的探索性学习成分来突破传统cai设计的局限性。
The results indicated that : ( 1 ) there are several reasons that make the three doors problem hard such as regret , the illusion of control , the misrepresentation of the problem space , etc . , but the misrepresentation is the most important reason ; ( 2 ) clear representation of the logical relation between the contestant and the host is the key of resolving three doors problems ( 2 )清晰表征选手行为和主持人行为的逻辑关系显著地促进了三门问题的解决，而只有在逻辑关系基础上的频率表征才能够更进一步地促进三门问题的解决，在此基础上概率形式的信息表征没有更显著的促进作用。
This paper discusses the problem space and solutions of interoperability in digital libraries , subdivides interoperability into two levels - plantform interoperability and application interoperability , and discusses simply the construction , principles of interoperable plantform of rpc and corba , and the approach of accomplish interoperability based on standards , agents and digital objects 本文对数字图书馆互操作的问题空间及解决方案进行了探讨，把数字图书馆互操作划分成平台级和应用级两个层次，简单讨论了rpc 、 corba构建互操作平台的原理，以及基于标准、外部代理和数字对象互操作的实现途径。
3 . in order to improve searching quality of restricting optimization , good and bad gene code method has been brought forward . its focus lays in emphasizing the value of gene to targets and more precisely simulate evolvement mechanism so that useful information in problem space will be used completely 为提高约束优化的搜索质量，提出了基因优劣编码，其重点是精确模拟自然进化机制，着重强调各基因位对优化目标的价值作用，越有利于优化目标的基因位越有价值，从而使问题空间的有益信息得到了充分利用。
Here scheme design evolutes in system optimizer ; detail design consists of various parts , and each part evolutes in different sub - optimizer . distributed co - evolution introduces " fittest survival " law of genetic algorithm , and adds hierarchical co - evolution of problem space and solution space 分布式协同演化算法，引入了遗传算法的优胜劣汰法则，加入了问题空间与解空间的层次性协同演化，为变化的方案提供变化的细部探索区域，适用于诸如基坑支护优化问题等参数离散的、带层次性的复杂工程问题。
