Intelligent Optimization of Railway Lines in Three-dimensional Space Based on Improved Genetic Algorithm
Cccc Fourth · Journal of East China Jiaotong University · 2014
The internal relationship between the railway line intelligent optimization and three-dimensional geo-spatial data is szcmmarized. Based on OSG, it firstly establishes the three-dimensional spatial information modelby organizing, processing and outputting the spatial data as a whole, which may provide visualization of geographi-cal information environment for searching the railway line schemes in three-dimensional space. Then, it analyzesthe cost objective function of the railway lines and builds up the comprehensive optimization model for railway lineintelligent optimization in three-dimensional space. Besides, it calculates the applicability of line schemes basedon multi-objective sorting matrix and designs the genetic operators of selection, crossover and mutation. The lineschemes to be near the group of optimal route scheme is realized by genetic evolution. And railway line intelligentoptimization in three-dimensional space is completed by searching performance, forming the group of optimal andvaluable line schemes. Based on the theory and method which are proposed, the intelligent line selection system inthree-dimensional space is realized based on the technology of vs.net, OSG, database technology, etc. Finally, theverification and evaluation of theoretical model and algorithm has been carried out by using the practical engineer-ing projects.