{"title":"一种改进的量子粒子群算法及其在校车问题中的应用","authors":"Fulin Su, Yueguang Li","doi":"10.1109/ICDMA.2012.48","DOIUrl":null,"url":null,"abstract":"This paper taking school bus routes running problem of Gansu Normal College for Nationalities as an example, discusses the school bus problem, given the mathematical model of route optimization, put forward an improved quantum-behaved particle swarm algorithm. Finally prove the model theory and effectiveness.","PeriodicalId":393655,"journal":{"name":"International Conference on Digital Manufacturing and Automation","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Improved Quantum-behaved Particle Swarm Algorithm and Its Application in School Bus Problem\",\"authors\":\"Fulin Su, Yueguang Li\",\"doi\":\"10.1109/ICDMA.2012.48\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper taking school bus routes running problem of Gansu Normal College for Nationalities as an example, discusses the school bus problem, given the mathematical model of route optimization, put forward an improved quantum-behaved particle swarm algorithm. Finally prove the model theory and effectiveness.\",\"PeriodicalId\":393655,\"journal\":{\"name\":\"International Conference on Digital Manufacturing and Automation\",\"volume\":\"91 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Digital Manufacturing and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDMA.2012.48\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Digital Manufacturing and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMA.2012.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Improved Quantum-behaved Particle Swarm Algorithm and Its Application in School Bus Problem
This paper taking school bus routes running problem of Gansu Normal College for Nationalities as an example, discusses the school bus problem, given the mathematical model of route optimization, put forward an improved quantum-behaved particle swarm algorithm. Finally prove the model theory and effectiveness.