Using a Hybrid Evolutionary Algorithm for Solving Signal Transmission Station Location and Allocation Problem with Different Regional Communication Quality Restriction

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY International Journal of Engineering and Technology Innovation Pub Date : 2020-07-01 DOI:10.46604/ijeti.2020.5054
Ta-Cheng Chen, Sheng-Chuan Wang, Wen-Cheng Tseng
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引用次数: 2

Abstract

This study aims to investigate the signal transmission station location-allocation problems with the various restricted regional constraints. In each constraint, the types of signal transmission stations and the corresponding numbers and locations are to be decided at the same time. Inappropriate set up of stations is not only causing the unnecessary cost but also making the poor service quality. In this study, we proposed a hybrid evolutionary approach integrating the immune algorithm with particle swarm optimization (IAPSO) to solve this problem where each of the regions is with different maximum failure rate restrictions. We compared the performance of the proposed method with commercial optimization software LINGO® . According to the experimental results, solutions obtained by our IAPSO are better than or as well as the best solutions obtained by LINGO® . It is expected that our research can provide the telecommunication enterprise the optimal/near-optimal strategies for the setup of signal transmission stations.
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用混合进化算法求解不同区域通信质量约束下的信号传输站定位与分配问题
本研究的目的是研究在各种受限区域约束下的信号传输站选址问题。在每个约束条件下,需要同时确定信号发射站的类型以及相应的发射站数量和位置。车站设置不当不仅造成不必要的费用,而且使服务质量下降。在本研究中,我们提出了一种将免疫算法与粒子群优化(IAPSO)相结合的混合进化方法来解决每个区域具有不同最大故障率限制的问题。我们将该方法的性能与商业优化软件LINGO®进行了比较。根据实验结果,我们的IAPSO得到的解决方案优于或不亚于LINGO®得到的最佳解决方案。期望本文的研究能为电信企业提供信号传输站建设的最优/近最优策略。
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
18
审稿时长
12 weeks
期刊介绍: The IJETI journal focus on the field of engineering and technology Innovation. And it publishes original papers including but not limited to the following fields: Automation Engineering Civil Engineering Control Engineering Electric Engineering Electronic Engineering Green Technology Information Engineering Mechanical Engineering Material Engineering Mechatronics and Robotics Engineering Nanotechnology Optic Engineering Sport Science and Technology Innovation Management Other Engineering and Technology Related Topics.
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