Article(id=1242133967265149346, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242133928572690679, articleNumber=null, orderNo=21, doi=10.3981/j.issn.1000-7857.2015.19.016, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1427904000000, receivedDateStr=2015-04-02, revisedDate=1435420800000, revisedDateStr=2015-06-28, acceptedDate=null, acceptedDateStr=null, onlineDate=1444992619947, onlineDateStr=2015-10-16, pubDate=1444665600000, pubDateStr=2015-10-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1444992619947, onlineIssueDateStr=2015-10-16, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077415524, creator=sys-migrate, updateTime=1774077415524, updator=sys-migrate, issue=Issue{id=1242133928572690679, tenantId=1146029695717560320, journalId=1146031591421210625, year='2015', volume='33', issue='19', pageStart='1', pageEnd='112', issueExtLink='null', onlineDate='null', pubDate='1444665600000', pubDateStr='2015-10-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077406301, creator='sys-migrate', updateTime=1774077406301, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=96, endPage=101, ext={EN=ArticleExt(id=1242133970318602674, articleId=1242133967265149346, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Multi-objective optimization configuration for special equipment materials on warship, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=This paper studies the multi-objective optimization configuration of special equipment materials on warships during the mission at sea. Considering the configuration characteristics of special equipment materials on warships, we establish a multiobjective and multi-constraint model with the fill rate and utilization rate as the optimization target, and volume, mass, and cost as the constraints. The multi-objective Particle Swarm Optimization (PSO) algorithm is designed and improved, guaranteeing diversity of particles at the global scope and avoiding excessively fast convergence, to obtain globally optimal solution. We further compare the calculation results between the improved algorithm and standard algorithm, analyzing the optimal configuration under different weight ratio and tendencies under different constraints. The results demonstrate the stability of the improved algorithm and practicability of the multi-objective model., authors=DONG Qi1 , XU Tingxue2 , ZHAO Jianzhong2 , CONG Linhu1 , authorsList=DONG Qi, XU Tingxue, ZHAO Jianzhong, CONG Linhu, authorCompany=1. Graduate Students' Brigade, Naval Aeronautical and Astronautical University, Yantai 264001, China;1 , 徐廷学2 , 赵建忠2 , 丛林虎1 , authorsList=董琪, 徐廷学, 赵建忠, 丛林虎, authorCompany=1. 海军航空工程学院研究生管理大队, 烟台 264001;
科技导报
| 研究论文 2015, 33(19): 96-101
舰船特装器材多目标优化配置方法
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董琪1 , 徐廷学2 , 赵建忠2 , 丛林虎1
作者信息
1. 海军航空工程学院研究生管理大队, 烟台 264001;
Multi-objective optimization configuration for special equipment materials on warship
Affiliations
出版时间: 2015-10-13
doi: 10.3981/j.issn.1000-7857.2015.19.016
文章导航
针对舰船海上执行任务期间随舰特装器材的保障问题,研究了特装器材的多目标优化配置方法。结合舰船特装器材保障的实际特点,以器材的体积、质量、费用为约束条件,以保障概率和利用率为优化目标,建立多目标多约束特装器材优化配置模型,并改进多目标粒子群算法,保证全局范围粒子多样性,避免算法过快收敛,以求得全局最优解。通过实例对比改进粒子群算法与标准算法的计算结果,分析不同指标权重比组合下的最优配置方案、不同约束条件下的多目标变化趋势,证明了改进粒子群算法的稳定性和多目标优化模型的实用性。
舰船特装器材
/
优化配置
/
保障概率
/
多目标优化
This paper studies the multi-objective optimization configuration of special equipment materials on warships during the mission at sea. Considering the configuration characteristics of special equipment materials on warships, we establish a multiobjective and multi-constraint model with the fill rate and utilization rate as the optimization target, and volume, mass, and cost as the constraints. The multi-objective Particle Swarm Optimization (PSO) algorithm is designed and improved, guaranteeing diversity of particles at the global scope and avoiding excessively fast convergence, to obtain globally optimal solution. We further compare the calculation results between the improved algorithm and standard algorithm, analyzing the optimal configuration under different weight ratio and tendencies under different constraints. The results demonstrate the stability of the improved algorithm and practicability of the multi-objective model.
special equipment materials
/
optimization configuration
/
fill rate
/
multi-objective optimization
董琪, 徐廷学, 赵建忠, 丛林虎.
舰船特装器材多目标优化配置方法.
科技导报,
2015
, 33
(19)
: 96
-101
.
DOI: 10.3981/j.issn.1000-7857.2015.19.016
DONG Qi, XU Tingxue, ZHAO Jianzhong, CONG Linhu.
Multi-objective optimization configuration for special equipment materials on warship[J].
Science & Technology Review ,
2015
, 33
(19)
: 96
-101
.
DOI: 10.3981/j.issn.1000-7857.2015.19.016
2015年第33卷第19期
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文章信息
doi: 10.3981/j.issn.1000-7857.2015.19.016
接收时间：2015-04-02
首发时间：2015-10-16
出版时间：2015-10-13
收稿日期：2015-04-02
修回日期：2015-06-28
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2015.19.016
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2种不同金属材料的力学参数
科 属数 种数 占总种数比例 属 种数 占总种数比例 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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