{"title":"A Bi-level Programming to Two-Stage Transportation Planning Problem","authors":"Cuiying Feng, L. Nie","doi":"10.1109/CSO.2014.127","DOIUrl":null,"url":null,"abstract":"This paper presents an extension of the two-stage transportation planning problem for a large scale hydropower construction project where bi-level programming and a balance of the satisfactory degree between decision makers are considered. For solving the complex and non-linear bilevel programming model, an interactive fuzzy programming technique and a particle swarm optimization with passive congregation algorithm are designed as a combined solution approach. Finally, the results and analysis of a practical example are presented to demonstrate the practicality and efficiency of the proposed model and optimization method.","PeriodicalId":174800,"journal":{"name":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Seventh International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2014.127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper presents an extension of the two-stage transportation planning problem for a large scale hydropower construction project where bi-level programming and a balance of the satisfactory degree between decision makers are considered. For solving the complex and non-linear bilevel programming model, an interactive fuzzy programming technique and a particle swarm optimization with passive congregation algorithm are designed as a combined solution approach. Finally, the results and analysis of a practical example are presented to demonstrate the practicality and efficiency of the proposed model and optimization method.