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FHC-Optimization Model for Deciding the Objective Hajj Pilgrims to Restricted Quota (Case Study: Hajj Pilgrimage Procedure in Indonesia)

机译:FHC优化模型决定目标HAJJ朝圣者限制配额(案例研究:印度尼西亚的HAJJ朝圣程序)

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In Indonesia, owing to limited quota, Hajj pilgrim determination to go to Mecca is a challenging activity to realistically do. The registered candidates of Hajj pilgrim cannot become Hajj pilgrims all 100%, several of them have to wait in list until years. Based on scientific view, this study was conducted. The objective of study is to construct a computer model based on optimization conception to objectively clarify the current-year Hajj pilgrims. By methodically employing the hill-climbing (HC) method in optimizing process and also applying fuzzy-logic concept in parameterizing parameters, a scheme of “double-stages fuzzy hill climbing (FHC) optimization” was constructed. Through bearing in mind seven selected parameters, the Hajj pilgrims in restricted quota were determined. The paper provides the detailed configuration of an optimization schema and constructed model. It also delivers the constructed model's simulation result regarding the determined 155,200 Hajj pilgrims (according to 2016 Indonesia Hajj pilgrim quota) for 33 Indonesias provinces from more than 220 thousand dummy (experimental) data of Hajj pilgrim candidates.
机译:在印度尼西亚,由于有限的配额,朝觐朝圣者决心去麦加是一个具有挑战性的活动,以实际做。 Hajj Pilgrim的注册候选人不能成为朝觐朝圣者所有100%,其中几个必须在列表中等待一年。基于科学观点,进行了这项研究。研究的目的是构建基于优化构想的计算机模型,客观地阐明当前的HAJJ朝圣者。通过在优化过程中采用山攀爬(HC)方法并且在参数化参数中应用模糊逻辑概念,构建了“双阶模糊山攀登(FHC)优化”方案。通过铭记七个选定的参数,确定了限制配额的HAJJ朝圣者。本文提供了优化架构和构造模型的详细配置。它还提供了构建的模型的模拟结果,了解了43个印度尼西亚的33个印度尼西亚普通派(实验)朝觐候选人的23多个虚拟(实验)数据的33个印度尼西亚普通派的仿真结果。

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