Article(id=1242135312382636900, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242135205469823510, articleNumber=null, orderNo=47, doi=10.3981/j.issn.1000-7857.2016.18.041, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1433952000000, receivedDateStr=2015-06-11, revisedDate=1439827200000, revisedDateStr=2015-08-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1477015793510, onlineDateStr=2016-10-21, pubDate=1474992000000, pubDateStr=2016-09-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1477015793510, onlineIssueDateStr=2016-10-21, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077736226, creator=sys-migrate, updateTime=1774077736226, updator=sys-migrate, issue=Issue{id=1242135205469823510, tenantId=1146029695717560320, journalId=1146031591421210625, year='2016', volume='34', issue='18', pageStart='1', pageEnd='320', issueExtLink='null', onlineDate='null', pubDate='1474992000000', pubDateStr='2016-09-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077710737, creator='sys-migrate', updateTime=1774077710737, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=293, endPage=298, ext={EN=ArticleExt(id=1242135316123951990, articleId=1242135312382636900, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Multi-objective decision-making methed in liquid cargo replenishment schemes, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=For solving decision problem about liquid cargo replenishment scheme, the mathematic model of scheme-decision problem is built based on weighting method. In order to simplify the model, the multi-objective problem (MOP) can be change into a single objective problem (SOP). The weight matrix of three sub-object is determined through analysis hierarchy process (AHP). Permutation and combination method is used to find all possible replenishment schemes and technique for order preference by similarity to an ideal solution (TOPSIS) theory and particle swarm optimization (PSO) algorithm are taken into the mathematic model to calculate best solutions from possible replenishment schemes respectively. The simulated numerical results indicate that the effectiveness of mathematic model and reliability of algorithm proposed in this paper, also can improve efficiency and security of liquid cargo replenishment., authors=DENG Wei1 , HAN Duanfeng1 , YAO Jingzheng1 , JIN Xin2 , authorsList=DENG Wei, HAN Duanfeng, YAO Jingzheng, JIN Xin, authorCompany=1. College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China;1 , 韩端锋1 , 姚竞争1 , 金鑫2 , authorsList=邓薇, 韩端锋, 姚竞争, 金鑫, authorCompany=1. 哈尔滨工程大学船舶工程学院, 哈尔滨 150001;
科技导报
| 研究论文 2016, 34(18): 293-298
海上液货补给方案多目标决策
全屏
邓薇, 韩端锋, 姚竞争, 金鑫
作者信息
Multi-objective decision-making methed in liquid cargo replenishment schemes
DENG Wei, HAN Duanfeng, YAO Jingzheng, JIN Xin
Affiliations
出版时间: 2016-09-28
doi: 10.3981/j.issn.1000-7857.2016.18.041
文章导航
针对海上液货补给方案的决策问题，采用加权法建立多目标决策数学模型，利用层次分析法确定约束条件的权重矩阵。引入排列组合等数值计算方法计算出可行的补给方案。分别通过TOPSIS逼近理想解排序法与PSO粒子群优化算法带入所建立的数学模型进行迭代计算直到获得最优的补给方案。通过实际被补给需求给定的液货量，利用上述方法进行数值模拟计算，可以快速准确地提供补给方案的决策依据。
液货补给方案
/
优化算法
/
多目标决策
/
TOPSIS
/
PSO
For solving decision problem about liquid cargo replenishment scheme, the mathematic model of scheme-decision problem is built based on weighting method. In order to simplify the model, the multi-objective problem (MOP) can be change into a single objective problem (SOP). The weight matrix of three sub-object is determined through analysis hierarchy process (AHP). Permutation and combination method is used to find all possible replenishment schemes and technique for order preference by similarity to an ideal solution (TOPSIS) theory and particle swarm optimization (PSO) algorithm are taken into the mathematic model to calculate best solutions from possible replenishment schemes respectively. The simulated numerical results indicate that the effectiveness of mathematic model and reliability of algorithm proposed in this paper, also can improve efficiency and security of liquid cargo replenishment.
replenishment scheme decision
/
optimal method
/
multi-objective decision
/
TOPSIS theory
/
PSO algorithm
邓薇, 韩端锋, 姚竞争, 金鑫.
海上液货补给方案多目标决策.
科技导报,
2016
, 34
(18)
: 293
-298
.
DOI: 10.3981/j.issn.1000-7857.2016.18.041
DENG Wei, HAN Duanfeng, YAO Jingzheng, JIN Xin.
Multi-objective decision-making methed in liquid cargo replenishment schemes[J].
Science & Technology Review ,
2016
, 34
(18)
: 293
-298
.
DOI: 10.3981/j.issn.1000-7857.2016.18.041
2016年第34卷第18期
PDF下载
189
31
引用本文
BibTeX
文章信息
doi: 10.3981/j.issn.1000-7857.2016.18.041
接收时间：2015-06-11
首发时间：2016-10-21
出版时间：2016-09-28
收稿日期：2015-06-11
修回日期：2015-08-18
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2016.18.041
引用本文
BibTeX
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
关闭全屏
BibTeX
EndNote
RefWorks
TxT
PDF下载
全屏
189
31
关闭全屏
北京市海淀区学院南路86号
010-62199257
qkjq@cast.org.cn
