Article(id=1281627228979049069, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281627156769903305, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.01.0753, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1754928000000, receivedDateStr=2025-08-12, revisedDate=1763654400000, revisedDateStr=2025-11-21, acceptedDate=null, acceptedDateStr=null, onlineDate=1783493342871, onlineDateStr=2026-07-08, pubDate=1769529600000, pubDateStr=2026-01-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783493342871, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783493342871, creator=13701087609, updateTime=1783493342871, updator=13701087609, issue=Issue{id=1281627156769903305, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='1', pageStart='1', pageEnd='280', issueExtLink='null', onlineDate='null', pubDate='1769529600000', pubDateStr='2026-01-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783493325654, creator='13701087609', updateTime=1783588714348, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282027246013624992, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281627156769903305, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282027246013624993, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281627156769903305, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=216, endPage=226, ext={EN=ArticleExt(id=1281627230694519406, articleId=1281627228979049069, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Multi-modal delivery routing planning of medical supplies for flood disasters considering rescue utility, columnId=1278415493535076803, journalTitle=China Safety Science Journal, columnName=Disaster Prevention and Mitigation Technology and Engineering, runingTitle=null, highlight=null, articleAbstract=

To quantify the rescue effect of medical supplies delivered to demand points at different times, the concept of rescue utility is introduced, and a rescue utility quantification function was constructed based on the time difference of medical supplies arriving at demand points. On this basis, a path planning model for multi-modal distribution of medical supplies in flood disasters was established with the objective of maximizing total rescue utility and minimizing total distribution time. According to the characteristics of the model, a HNSGA-II was designed for solution. Experiments were conducted using multiple types of examples. The results demonstrate that HNSGA-II achieves a 62% and 29% improvement in total rescue utility compared to the traditional Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and the Multi-Objective Artificial Bee Colony Algorithm (MOABCA), respectively. Additionally, the average satisfaction level of material delivery time is enhanced by 13% and 6.1%, respectively. These findings indicate that HNSGA-II significantly improves emergency rescue outcomes, exhibits superior multi-objective optimization capability, and ensures that disaster victims receive timely and effective treatment under emergency conditions.

, authors=Changshi LIU¹, Tao LIU², Yongjun ZHU^{3, **}, Junyu YUE⁴, Cheng WAN², Junyu LI⁵, authorsList=Changshi LIU, Tao LIU, Yongjun ZHU, Junyu YUE, Cheng WAN, Junyu LI, authorCompany=null, correspAuthors=Yongjun ZHU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1281627231223001713, articleId=1281627228979049069, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=考虑救援效用的洪灾医疗物资多方式配送路径规划, columnId=1149735802885817075, journalTitle=中国安全科学学报, columnName=防灾减灾技术与工程, runingTitle=null, highlight=null, articleAbstract=

为量化医疗物资在不同时间送达需求点产生的救援效果，引入救援效用概念，根据医疗物资运达需求点的时间差异构建救援效用量化函数；在此基础上，以总救援效用最大、总配送时间最短为目标，构建洪灾医疗物资多方式配送的路径规划模型，并根据模型特性，设计一种混合非支配排序遗传算法-II（HNSGA-II）求解；采用多类型算例开展试验。结果表明：HNSGA-II的总救援效用比传统非支配排序遗传算法-II（NSGA-II）和多目标蜂群算法（MOABCA）分别提升62%和29%，物资送达时间的平均满意度分别提升13%和6.1%。HNSGA-II能够提升应急救援效果，体现出更强的多目标优化能力，确保灾民在紧急情况下能得到及时有效的治疗。

, authors=刘长石教授¹, 刘涛², 祝勇军副教授^{3, **}, 岳俊羽⁴, 万城², 李君宇⁵, authorsList=刘长石教授, 刘涛, 祝勇军副教授, 岳俊羽, 万城, 李君宇, authorCompany=null, correspAuthors=祝勇军副教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=Qz0SFMOuI7mzFTkCfQp/UA==, magXml=0p4cW+1hFi6Nfl/swHAkDA==, pdfUrl=null, pdf=BbKl33ebLa1rnPJIujCRtQ==, pdfFileSize=2848169, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=WtTEsLMgVnJ20CIV8+4pzQ==, mapNumber=null, fund=null)}, authors=[Author(id=1281627231822787202, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281627228979049069, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=liuchangshi964@126.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281627231919256196, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281627228979049069, authorId=1281627231822787202, language=EN, stringName=Changshi LIU, firstName=Changshi, middleName=null, lastName=LIU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹School of Business Administration, Hunan University of Technology and Business, Changsha Hunan 410205, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281627231982170757, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281627228979049069, authorId=1281627231822787202, language=CN, stringName=刘长石教授, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹湖南工商大学 工商管理学院，湖南 长沙 410205, bio={"content":"

刘长石（1975—），男，湖南邵阳人，博士，教授，主要从事物流与供应链管理、数字经济等方面的研究。E-mail: liuchangshi964@126.com。

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刘长石（1975—），男，湖南邵阳人，博士，教授，主要从事物流与供应链管理、数字经济等方面的研究。E-mail: liuchangshi964@126.com。

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