Multi-objective Optimization Model of Highway Alignment

摘要：

Highway alignment selection involves multi-objective decision-making, and it is uncertain and fuzzy. Traditional interactive highway CAD system based on geometric model and numerical calculation model cannot solve multi-objective alignment selection problem. This study introduced CIS-based spatial data mining and multi-objective intelligent evolution algorithms into highway alignment selection process, and put forward GIS-based spatial environment knowledge model, obtained environment knowledge of alignment from spatial data mining using Component Object Mode technology; constructed a multi-objective optimization algorithm NSGA-I1 based alignment optimization model, which theoretically solved key technical problems during modeling process, such as genetic coding, determination of objective functions, design of genetic operators and implementation of evolution algorithms. We completed the development of intelligent highway alignment selection system on the basis of the above models, and the result showed that the final optimized plan can effectively take terrain, geology, ecology and safety into consideration, and is intelligent and pragmatic as an initial plan of interactive design.

关键词： road engineering alignment optimization GIS, spatial environment knowledge model multi-objective evolution algorithm Pareto optimal solution NSGA-II

作者: Yang Hong-zhi Zhao Li-ping Xu Jin-liang

作者单位: Dept. of highway engineering,College of Highway, ChanganUniversityXian, Shaanxi, China Dept. of highway engineering, College of Highway, Changan University Xian, Shaanxi, China

会议类型: 国际会议

会议名称: 2011 International Conference on System Modeling and Optimization(ICSMO 2011)(2011年系统建模与优化国际会议)

会议地点: 贵阳

会议语种:英文

页码: 20-25

在线出版日期: 2011-01-26（万方平台首次上网日期，不代表论文的发表时间）