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

International Journal of Engineering and Technology Innovation

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Field Value
 
Title Using a Hybrid Evolutionary Algorithm for Solving Signal Transmission Station Location and Allocation Problem with Different Regional Communication Quality Restriction
 
Creator Chen, Ta-Cheng
Sheng-Chuan Wang
Wen-Cheng Tseng
 
Subject location-allocation problem
hybrid evolutionary approach
immune algorithm
particle swarm optimization
 
Description 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.
 
Publisher Taiwan Association of Engineering and Technology Innovation
 
Date 2020-07-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier http://ojs.imeti.org/index.php/IJETI/article/view/5054
10.46604/ijeti.2020.5054
 
Source International Journal of Engineering and Technology Innovation; Vol 10 No 3 (2020); 165-178
2226-809X
2223-5329
 
Language eng
 
Relation http://ojs.imeti.org/index.php/IJETI/article/view/5054/974
http://ojs.imeti.org/index.php/IJETI/article/view/5054/975
 
Rights Copyright (c) 2020 Ta-Cheng Chen, Sheng-Chuan Wang, Wen-Cheng Tseng
http://creativecommons.org/licenses/by-nc/4.0
 

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