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- W2377493442 abstract "A three-dimensional spatial intelligent approach for railway alignment optimization was developed,which is based on genetic algorithms. The 3D spatial information model for railway alignment was built to provide basic information in assigned region for intelligent searching of the railway spatial alignment. The geometric parameters of railway spatial alignment were taken as the design variables,and the geometric constraint and environmental impact constraint of railway line were fully considered for establishment of the multi-objetive mathematical optimization model,with the minimum integrate-cost of railway as the objective. A genetic real encoding method was devised,which took the cutting distance of intersection point and the elevation of chain-linked fold lines as its gene series. The genetic operator which adapted to the whole optimization of the railway spatial alignment was designed. The global search and multi-objective optimization for the railway three-dimensional spatial alignment were conducted,controlling the choices of line scheme reasonably and maintaining the diversity of the scenarios. Based on the theories and methodology reviewed in this paper,a three-dimensional spatial intelligent route selection system was developed and had been widely applied to many railway projects. The scenarios also showed that the railway scheme searched was economic and reasonable,and that the rationality and practicability of the 3D spatial intelligent optimization algorithm was verified." @default.
- W2377493442 created "2016-06-24" @default.
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- W2377493442 date "2013-01-01" @default.
- W2377493442 modified "2023-09-23" @default.
- W2377493442 title "Research and Development of Three-dimensional Spatial Intelligent Line Selection for Railway" @default.
- W2377493442 hasPublicationYear "2013" @default.
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