| 公路路线智能优化方法研究 |
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| 引用本文： | 杨宏志,卢瑜.公路路线智能优化方法研究[J].交通与计算机,2009,27(5). |
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| 作者姓名： | 杨宏志 卢瑜 |
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| 作者单位： | 1. 长安大学公路学院,特殊地区公路工程教育部重点实验室,西安,710064
2. 山东省交通厅质量监督站,山东,济南,250002 |
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| 基金项目： | 交通部西部交通建设科技项目(批准号:200331881236)资助 |
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| 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。
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| 关 键 词： | 公路路线 智能优化 多目标遗传算法 空间数据挖掘 |
Intelligent Optimization Method of Highway Alignment |
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| YANG Hongzhi,LU Yu.Intelligent Optimization Method of Highway Alignment[J].Computer and Communications,2009,27(5). |
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| Authors: | YANG Hongzhi LU Yu |
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| Institution: | Key Laboratory for Special Area Highway Engineering of Ministry of Education;School of Highway;Chang'an University;Xi'an 710064;China;Quality Supervision Station;Communication Department of Shandong Province;Jinan 250002;China |
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| 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 ... |
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| Keywords: | highway alignment intelligent optimization multi-object genetic algorithm spatial data mining |
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