%0 Journal Article
%T Foundation excavation co-evolution based on particle swarm optimization<br>基于粒子群算法协同优化基坑支护问题
%A CHEN Qiu-lian
%A LI Tao-shen
%A WU Heng
%A ZHOU Dong
%A <br>陈秋莲
%A 李陶深
%A 吴恒
%A 周东
%J 计算机应用
%D 2007
%I 
%X As a multi-level optimization problem,foundation excavation optimization concerns many constraint conditions.With the analysis in hierarchy and relation of level design,a new collaborative optimization algorithm was proposed,which was distributed,hierarchical and of co-evolution.Collaborative optimization was integrated with particle swarm optimization to speed up the evolution and simply the optimization process.Collision and disposal in optimization of sub-systems,which belong to co-evolution optimization system,were analyzed.At last,an experiment of parallel collaborative design with "anchored piles in row and waterproof curtain" was given to show its effectiveness.
%K particle swarm optimization(PSO)
%K foundation excavation
%K collaborative optimization
%K co-evolution
%K hierarchy<br>粒子群算法
%K 基坑支护
%K 协同优化
%K 协同演化
%K 层次性
%K 粒子群算法
%K 协同优化
%K 基坑支护
%K 问题
%K particle
%K swarm
%K optimization
%K based
%K excavation
%K 有效性
%K 验证
%K 并行协同设计
%K 截水
%K 排桩支护
%K 锚固
%K 处理方法
%K 系统优化
%K 中子
%K 优化系统
%K 分析
%K 优化过程
%K 简化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512308C2B9CA1475960&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=DF92D298D3FF1E6E&sid=0420ACD7465FFFB2&eid=FAF71E26421EE61B&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7