Development of a Military Uniform Size System Using Hybrid Support Vector Clustering with a Genetic Algorithm
Military uniforms serve as an essential symbol for servicemen and an important image of national and military dignity. The current military uniform size system in Taiwan, which features various types of military uniforms based on the body sizes of servicemen, was formulated in 1986. This size classi...
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doaj-fcbff6bec8d7462cac40ec8941a31e542020-11-24T21:45:16ZengMDPI AGSymmetry2073-89942019-05-0111566510.3390/sym11050665sym11050665Development of a Military Uniform Size System Using Hybrid Support Vector Clustering with a Genetic AlgorithmTing-Chen Hu0Jason C.H. Chen1Gino K. Yang2Cheng-Wei Chen3Department of Health Business Administration, Hungkuang University, Taichung City 43302, TaiwanSchool of Business Administration, Gonzaga University, Spokane, WA 99258, USADepartment of Computer Science and Information Management, Hungkuang University, Taichung City 43302, TaiwanDepartment of Computer Science and Information Management, Hungkuang University, Taichung City 43302, TaiwanMilitary uniforms serve as an essential symbol for servicemen and an important image of national and military dignity. The current military uniform size system in Taiwan, which features various types of military uniforms based on the body sizes of servicemen, was formulated in 1986. This size classification system includes numerous groups and is too complex, leading to inventory overstock, increased inventory cost and warehouse staff workload, and a waste of national defense resources. This study used support vector clustering (SVC) with genetic algorithm (GA) models to improve the upper garment size system for uniforms. The SVC technique was employed to classify sizes, and the GA technique was used to determine optimal parameter values for the SVC model. This paper developed an upper garment size system that can increase the fit of uniforms to servicemen’s body sizes and reduce the number of size groups, thereby alleviating warehouse staff workload and inventory cost.https://www.mdpi.com/2073-8994/11/5/665military applicationuniform size systemsupport vector clustering (SVC)support vector machines (SVM)genetic algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ting-Chen Hu Jason C.H. Chen Gino K. Yang Cheng-Wei Chen |
spellingShingle |
Ting-Chen Hu Jason C.H. Chen Gino K. Yang Cheng-Wei Chen Development of a Military Uniform Size System Using Hybrid Support Vector Clustering with a Genetic Algorithm Symmetry military application uniform size system support vector clustering (SVC) support vector machines (SVM) genetic algorithm |
author_facet |
Ting-Chen Hu Jason C.H. Chen Gino K. Yang Cheng-Wei Chen |
author_sort |
Ting-Chen Hu |
title |
Development of a Military Uniform Size System Using Hybrid Support Vector Clustering with a Genetic Algorithm |
title_short |
Development of a Military Uniform Size System Using Hybrid Support Vector Clustering with a Genetic Algorithm |
title_full |
Development of a Military Uniform Size System Using Hybrid Support Vector Clustering with a Genetic Algorithm |
title_fullStr |
Development of a Military Uniform Size System Using Hybrid Support Vector Clustering with a Genetic Algorithm |
title_full_unstemmed |
Development of a Military Uniform Size System Using Hybrid Support Vector Clustering with a Genetic Algorithm |
title_sort |
development of a military uniform size system using hybrid support vector clustering with a genetic algorithm |
publisher |
MDPI AG |
series |
Symmetry |
issn |
2073-8994 |
publishDate |
2019-05-01 |
description |
Military uniforms serve as an essential symbol for servicemen and an important image of national and military dignity. The current military uniform size system in Taiwan, which features various types of military uniforms based on the body sizes of servicemen, was formulated in 1986. This size classification system includes numerous groups and is too complex, leading to inventory overstock, increased inventory cost and warehouse staff workload, and a waste of national defense resources. This study used support vector clustering (SVC) with genetic algorithm (GA) models to improve the upper garment size system for uniforms. The SVC technique was employed to classify sizes, and the GA technique was used to determine optimal parameter values for the SVC model. This paper developed an upper garment size system that can increase the fit of uniforms to servicemen’s body sizes and reduce the number of size groups, thereby alleviating warehouse staff workload and inventory cost. |
topic |
military application uniform size system support vector clustering (SVC) support vector machines (SVM) genetic algorithm |
url |
https://www.mdpi.com/2073-8994/11/5/665 |
work_keys_str_mv |
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