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Is to optimize the design of the entire plane and vertical section of the existing lines based on genetic algorithm

Author: SunXiaoLi
Tutor: JiangHongZuo
School: Central South University
Course: Road and Railway Engineering
Keywords: Realignment of the existing line Genetic Algorithms Optimal design Flat Longitudinal section
CLC: U212.3
Type: Master's thesis
Year: 2010
Downloads: 50
Quote: 0
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Abstract


The plane and the vertical section of the existing railway line the whole it is one of the primary means to ensure the smooth ride and safety . The whole positive optimize Realignment design can improve the quality and reduce the cost of the project is focused on issues of railway workers , has important theoretical and practical value . Traditional optimization methods applied to the line the whole main problems encountered in the design is to optimize the objective function is complex and difficult to solve , which stems from the biological theory of evolution , the principles of genetic evolution and genetic algorithm optimization technology combination kinds of non-traditional optimization methods , it does not require the objective function and constraint functions derivative auxiliary information , solving convenient , provide a the line whole is to optimize the design of the new tools for the railway workers . The main work of this paper is the introduction of genetic algorithms to the plane of the existing railway line and the vertical section of the whole being designed . Of major to complete the whole of the existing line plane is to optimize the design and the existing line profile is to optimize the whole design part . The plane the whole design of the first based on the radius of the curve , easing curve length , curve length constraint generation to meet the regulatory requirements of the initial program group , then consider the control point constraints into the fitness function , genetic calculations , and finally get to meet various constraints of the optimal solution. Profile whole is designed based on the maximum slope , maximum gradient reduction , the most long slope , the biggest difference between the adjacent slope control point elevation , level vertical linear position and other constraints to generate initial solutions that meet the constraints and design specifications , then genetic computation by a predetermined number of iterations to obtain the optimal solution. This study showed that the use of genetic algorithms to existing lines plane and longitudinal section whole is to optimize the reversal distance and the decrease of the ups and downs of the Road absolute value and square and has a significant degree of optimization results significantly . This is of great significance to reduce the project , reducing the cost of railway maintenance .

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CLC: > Transportation > Rail transport > Railway Line Project > Line planning, surveying and design > Circuit design
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