Finding a feasible course schedule using Tabu search(3)

文章地址Finding a feasible course schedule using Tabu search翻译进度 [#] 介绍 [#] 问题描述 [#] 禁忌搜索技术 [#] 修改禁忌搜索 [ ] 数字化结果 [ ] 扩展 [ ] 结束语 上一篇链接 Adaptation of Tabu searchMany authors have formulated the course scheduling problem as an assignmentproblem [3,4,9,12]. Guidelines for adapting Tabu search to assignment problemshave been described in [12]; the same paper contains a description of the algorithmTAT1 which is an example of such an adaptation to a course scheduling problemwhere starting times have to be assigned to courses. For our timetabling problemwe cannot use the algorithm TAT1 since the number of courses and their length arenot known in advance.Let us however formulate our course scheduling problem as an assignment problemwhere each element from a set S of conflicting objects is assigned to exactly oneelement of a set P.The daily quantums of a static topic are fixed in advance. They induce coursesof given length. These courses are defined to be s-objects.     继续阅读
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MXlwq 3月 27, 2016
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Finding a feasible course schedule using Tabu search(2)

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MXlwq 3月 16, 2016
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Finding a feasible course schedule using Tabu search(1)

文章地址Finding a feasible course schedule using Tabu search翻译进度 [#] 介绍 [#] 问题描述 [ ] 禁忌搜索技术 [ ] 修改禁忌搜索 [ ] 数字化结果 [ ] 扩展 [ ] 结束语 作者和期刊相关期刊:Discrete Applied MathematicsTHE JOURNAL OF COMBINATORIAL ALGORITHMS, INFORMATICS AND COMPUTATIONAL SCIENCES组合算法,信息与计算科学期刊     继续阅读
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MXlwq 3月 12, 2016
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DMDSS集成模型开发需求的灾难决策分类

文章地址CATEGORIZATION OF DISASTER DECISION SUPPORT NEEDS FOR THE DEVELOPMENT OF AN INTEGRATED MODEL FOR DMDSS翻译进度 [x] 引言 [x] 进行了决策支持系统的概述。 [x] 定义了一个特定的灾害管理决策支持系统 [x] 点明了在开发DMDSS中出现的问题。 [x] 概述了我们DMDSS开发和模型集成的方法。 [x] 对模块化子程序选择的概述。 [x] 描述的选择过程。 [x] 提出决策支持的概念需要。 [x] 提出了模块化子程序选择需求的分类方案。 [x] 用一个例子来支持需求分类方案。 [x] 实验结果 [x] 实验结论。 作者SOHAIL ASGHAR,DAMMINDA ALAHAKOON,LEONID CHURILOV 摘要The wide variety of disasters and the large number of activities involved have resulted in the demand for separate Decision Support System (DSS) models to manage different requirements. The modular approach to model management is to provide a framework in which to focus multidisciplinary research and model integration. A broader view of our approach is to provide the flexibility to organize and adapt a tailored DSS model (or existing modular subroutines) according to the dynamic needs of a disaster. For this purpose, the existing modular subroutines of DSS models are selected and integrated to produce a dynamic integrated model focussed on a given disaster scenario. In order to facilitate the effective integration of these subroutines, it is necessary to select the appropriate modular subroutine beforehand. Therefore, subroutine selection is an important preliminary step towards model integration in developing Disaster Management Decision Support Systems (DMDSS). The ability to identify a modular subroutine for a problem is an important feature before performing model integration. Generally, decision support needs are combined, and encapsulate different requirements of decision-making in the disaster management area. Categorization of decision support needs can provide the basis for such model selection to facilitate effective and efficient decision-making in disaster management. Therefore, our focus in this paper is on developing a methodology to help identify subroutines from existing DSS models developed for disaster management on the basis of needs categorization. The problem of the formulation and execution of such modular subroutines are not addressed here. Since the focus is on the selection of the modular subroutines from the existing DMDSS models on basis of a proposed needs classification scheme.     继续阅读
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MXlwq 4月 30, 2015
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