公路路基拓宽优化设计改进粒子群算法  

Modified particle swarm optimization algorithm in optimization design of highway subgrade widening

作　　者：陈昌富[1] 严捷[1] 

机构地区：[1]湖南大学岩土工程研究所,湖南长沙410082

出　　处：《铁道科学与工程学报》2008年第4期14-19,共6页Journal of Railway Science and Engineering

基　　金：高等学校博士学科专项科研基金资助项目(20050532021);交通部西部资助项目(200631880237)

摘　　要：考虑单位路段内的工程数量、公路占地、边坡稳定等因素,建立以最优造价为目标函数的路基拓宽优化设计数学模型;引入具有一定全局搜索能力和较快收敛速度的粒子群算法并予以改进,得到了基于改进粒子群算法的路基拓宽优化设计方法,并编制相应优化计算程序。最后结合算例,给出不同条件下路基断面的拓宽形式,同时,对比分析证明了该法的可靠和可行性。considering the project quantity, land occupying, slope stability and so on, an optimal model of subgrade widening was established, and the cost of the model was taken as its objective function. Then based on a modified particle swarm optimization arithmetic, the model was optimized, and its corresponding program was worked out. Finally, broadening schemes in different conditions were achieved according to this method. The results show that it is valiable and feasible.

关 键 词：路基 旧路拓宽 优化设计 粒子群算法 

分 类 号：U416[交通运输工程—道路与铁道工程]