【摘要】 公路路线优化属于多目标优化问题。传统优化算法难以解决具有模糊性、不确定性的路线优化问题。建立了基于GIS和遗传算法的公路路线智能优化模型,提出了基于GIS空间数据挖掘技术的选线环境知识获取模型和基于多目标遗传算法NSGA-Ⅱ的路线优化算法,解决了GIS与遗传算法集成、目标函数确定、遗传算法设计等关键问题。最后通过算例,验证了模型的有效性和实用性。更多还原

【Abstract】 Highway alignment optimization is a multi-object problem.It is difficult to solve this optimization problem with traditional algorithm due to its fuzzy and uncertain objective function.Based on GIS and genetic algorithm(GA),the intelligent optimization model of highway alignment has been built to address this problem.The knowledge acquisition model of highway alignment environment has been built based on spatial data mining technology.The highway alignment optimization algorithm has been presented based on multi-object genetic algorithm(NSGA-Ⅱ),and some key problems such as integration of GIS and GA,object functions,genetic algorithm design have been solved.The efficiency and applicability of the optimization model have been verified by using an example presented in this paper.更多还原