{"title":"基于多层遗传算法的公路桥梁养护策略建模","authors":"T. Harada, Yoshinori Tomita, K. Yokoyama","doi":"10.11532/JOURNALAC1992.10.147","DOIUrl":null,"url":null,"abstract":"•y Abstract•zRecently, due to the increasing maintenance expense for road and bridge structures, it is urgently demanded to draw up maintenance strategies more economically. In this study, proposed was to make maintenance strategies of highway bridges by using multi-layer GA. Through the numerical simulations, the following conclusions are obtained; 1) The proposed GA model can successfully achieve the escape from the local minimum;2) This model is effective for making maintenance strategies of highway bridges.","PeriodicalId":309334,"journal":{"name":"journal of Civil Engineering Information Processing System","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2001-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling of maintenance strategies for highway bridges by using multi-layer genetic algorithms\",\"authors\":\"T. Harada, Yoshinori Tomita, K. Yokoyama\",\"doi\":\"10.11532/JOURNALAC1992.10.147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"•y Abstract•zRecently, due to the increasing maintenance expense for road and bridge structures, it is urgently demanded to draw up maintenance strategies more economically. In this study, proposed was to make maintenance strategies of highway bridges by using multi-layer GA. Through the numerical simulations, the following conclusions are obtained; 1) The proposed GA model can successfully achieve the escape from the local minimum;2) This model is effective for making maintenance strategies of highway bridges.\",\"PeriodicalId\":309334,\"journal\":{\"name\":\"journal of Civil Engineering Information Processing System\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"journal of Civil Engineering Information Processing System\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11532/JOURNALAC1992.10.147\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"journal of Civil Engineering Information Processing System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11532/JOURNALAC1992.10.147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling of maintenance strategies for highway bridges by using multi-layer genetic algorithms
•y Abstract•zRecently, due to the increasing maintenance expense for road and bridge structures, it is urgently demanded to draw up maintenance strategies more economically. In this study, proposed was to make maintenance strategies of highway bridges by using multi-layer GA. Through the numerical simulations, the following conclusions are obtained; 1) The proposed GA model can successfully achieve the escape from the local minimum;2) This model is effective for making maintenance strategies of highway bridges.