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基于进化算法的路线平面线形优化方式的研究
引用本文:陈建新,吕麦霞,陈佳. 基于进化算法的路线平面线形优化方式的研究[J]. 施工技术, 2012, 41(11): 49-52,56
作者姓名:陈建新  吕麦霞  陈佳
作者单位:1. 长安大学公路学院,陕西西安,710064
2. 西安市市政设计院有限责任公司,陕西西安,710065
3. 北京佳林育人国际教育科技中心有限责任公司,北京,100085
摘    要:根据路线平面布设时的主要控制因素,将路线方案需要考虑的各种因素转化为一种以费用最小化为衡量基准的模型,并设计了遗传算法对路线平面方案进行优化,该算法可以获得较高的收敛速度并且提高了求解精度,避免了其他遗传算法可能产生的过早收敛的现象,同时保持了优良个体的进化稳定性,在一定程度上弥补了单种群、定常参数在克服早熟中缺乏普遍性的缺点。最后,利用实例对算法进行了验证,且取得了较好的效果。

关 键 词:道路工程  路线  平面线形  遗传算法  优化

An Adaptive Genetic Algorithm Based on Multi-population Parallel Evolutionary for Highway Alignment Optimization Model
Chen Jianxin , Lü Maixia , Chen Jia. An Adaptive Genetic Algorithm Based on Multi-population Parallel Evolutionary for Highway Alignment Optimization Model[J]. Construction Technology, 2012, 41(11): 49-52,56
Authors:Chen Jianxin    Lü Maixia    Chen Jia
Affiliation:Chen Jianxin1,Lü Maixia2,Chen Jia3(1.Highway College,Chang’an University,Xi’an,Shaanxi 710064,China; 2.Xi’an Municipal Design Institute Co.,Ltd.,Xi’an,Shaanxi 710065,China; 3.Beijing Jialin Yuren International Education Center of Science and Technology Co.,Ltd.,Beijing 100085,China)
Abstract:Based on the characteristics of the highway design,the authors transfers all the factors involved in the highway design to a cost-optimized-oriented model and designs a variety parallel genetic algorithm to optimize highway design.While maintaining evolution stability of excellent individual,the algorithm can improve convergence rate and accuracy and avoid premature convergence generated by single-population evolution.To some extent,it makes up generalization-lacking defects of a single species or steady parameters in premature overcoming.Finally,the algorithm is verified which achieves a good result.
Keywords:routes  horizontal alignment  genetic algorithm  optimization
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