title: Robust optimization model and algorithm for railway freight center location problem in uncertain environment.
abstract: Railway freight center location problem is an important issue in railway freight transport programming. This paper focuses on the railway freight center location problem in uncertain environment. Seeing that the expected value model ignores the negative influence of disadvantageous scenarios, a robust optimization model was proposed. The robust optimization model takes expected cost and deviation value of the scenarios as the objective. A cloud adaptive clonal selection algorithm (C-ACSA) was presented. It combines adaptive clonal selection algorithm with Cloud Model which can improve the convergence rate. Design of the code and progress of the algorithm were proposed. Result of the example demonstrates the model and algorithm are effective. Compared with the expected value cases, the amount of disadvantageous scenarios in robust model reduces from 163 to 21, which prove the result of robust model is more reliable.
authors.affiliation: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.
authors.forename: Xing-Cai
authors.identifier: 0000-0002-1311-7756
authors.initials: XC
authors.lastname: Liu
authors.affiliation: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.
authors.forename: Shi-Wei
authors.initials: SW
authors.lastname: He
authors.affiliation: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.
authors.forename: Rui
authors.initials: R
authors.lastname: Song
authors.affiliation: Integrated Transport Research Center, China Academy of Transportation Sciences, Beijing 100029, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Sun
authors.affiliation: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.
authors.forename: Hao-Dong
authors.initials: HD
authors.lastname: Li
mesh_terms: D000465:Algorithms; D003661:Decision Support Techniques; D004777:Environment; D006801:Humans; D008962:Models, Theoretical; D011890:Railroads; D035501:Uncertainty