Article(id=1284878685765341592, tenantId=1146029695717560320, journalId=1283840460791746584, issueId=1284096873799594072, articleNumber=PA20260711_tEuZnuAm, orderNo=null, doi=10.13637/j.issn.1009-6094.2025.0834, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1784268550578, onlineDateStr=2026-07-17, pubDate=1782316800000, pubDateStr=2026-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1784268550578, onlineIssueDateStr=2026-07-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1784268550578, creator=admin, updateTime=1784268550578, updator=admin, issue=Issue{id=1284096873799594072, tenantId=1146029695717560320, journalId=1283840460791746584, year='2026', volume='26', 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Algorithm, GA)三类经典算法作为对照组，在基于栅格地图构建的环境框架下，开展多智能体路径寻优模拟仿真试验。结果表明：在路径长度方面，改进樽海鞘算法最优长度较GA缩短8.6%,较PSO缩短22.7%,较SSA缩短13.3%;在路径求解稳定性方面，改进樽海鞘算法较GA性能提升50%,较PSO提升幅度达93%,比SSA算法提高了77%。, authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, 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