{"title":"考虑资金时间价值的PAAA算法在项目进度中的网络综合优化","authors":"Yuansheng Huang, Qingchao Liu, Zilong Qiu","doi":"10.1109/CCCM.2008.52","DOIUrl":null,"url":null,"abstract":"From the view of how to get the biggest benefits by optimizing the project network schedule, the paper uses systemic method of controlling the construction schedule and puts forward a mathematical model which considers the synthetic optimization of the cost, the supply of resources and the influence of latent uncertainties. Then by changing the choose strategy and the local search strategy, the combining ant colony algorithms and particle swarm optimization algorithms (PAAA) is proposed and applied in the process of optimizing the model. Finally, an example is used to prove the method is effective.","PeriodicalId":326534,"journal":{"name":"2008 ISECS International Colloquium on Computing, Communication, Control, and Management","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Network Synthetic Optimization in Project Schedule by Using PAAA Algorithm and Considered of Time Value of Money\",\"authors\":\"Yuansheng Huang, Qingchao Liu, Zilong Qiu\",\"doi\":\"10.1109/CCCM.2008.52\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"From the view of how to get the biggest benefits by optimizing the project network schedule, the paper uses systemic method of controlling the construction schedule and puts forward a mathematical model which considers the synthetic optimization of the cost, the supply of resources and the influence of latent uncertainties. Then by changing the choose strategy and the local search strategy, the combining ant colony algorithms and particle swarm optimization algorithms (PAAA) is proposed and applied in the process of optimizing the model. Finally, an example is used to prove the method is effective.\",\"PeriodicalId\":326534,\"journal\":{\"name\":\"2008 ISECS International Colloquium on Computing, Communication, Control, and Management\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 ISECS International Colloquium on Computing, Communication, Control, and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCCM.2008.52\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 ISECS International Colloquium on Computing, Communication, Control, and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCCM.2008.52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Network Synthetic Optimization in Project Schedule by Using PAAA Algorithm and Considered of Time Value of Money
From the view of how to get the biggest benefits by optimizing the project network schedule, the paper uses systemic method of controlling the construction schedule and puts forward a mathematical model which considers the synthetic optimization of the cost, the supply of resources and the influence of latent uncertainties. Then by changing the choose strategy and the local search strategy, the combining ant colony algorithms and particle swarm optimization algorithms (PAAA) is proposed and applied in the process of optimizing the model. Finally, an example is used to prove the method is effective.