| 基于粒子群算法协同优化基坑支护问题 |
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| 引用本文： | 陈秋莲,李陶深,吴恒,周东.基于粒子群算法协同优化基坑支护问题[J].计算机应用,2007,27(7):1780-1782. |
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| 作者姓名： | 陈秋莲 李陶深 吴恒 周东 |
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| 作者单位： | 广西大学,计算机与电子信息学院,南宁,530004;广西大学,土木建筑工程学院,南宁,530004 |
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| 基金项目： | 国家自然科学基金
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广西大学校科研和教改项目 |
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| 摘 要： | 城市深基坑支护的优化设计存在着层次性且不同层次间的设计相互影响，为此设计了一种协同智能优化算法:协同演化优化算法，并在协同演化优化中运用粒子群算法来加快演化速度，简化优化过程。分析了协同演化优化系统中子系统优化间存在的冲突和处理方法。最后以锚固式排桩支护和截水帐幕的并行协同设计,验证了该算法的有效性。
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| 关 键 词： | 粒子群算法 基坑支护 协同优化 协同演化 层次性 |
| 文章编号： | 1001-9081（2007）07-1780-03 |
| 收稿时间： | 2007-01-26 |
| 修稿时间： | 2007-01-252007-03-26 |
Foundation excavation co-evolution based on particle swarm optimization |
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| CHEN Qiu-lian,LI Tao-shen,WU Heng,ZHOU Dong.Foundation excavation co-evolution based on particle swarm optimization[J].journal of Computer Applications,2007,27(7):1780-1782. |
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| Authors: | CHEN Qiu-lian LI Tao-shen WU Heng ZHOU Dong |
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| Affiliation: | 1. College of Computer Science and Electronic Information, Guangxi University, Nanning Guangxi 530004, China; 2. College of Civil Engineering Architecture, Guangxi University, Nanning Guangxi 530004, China |
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| Abstract: | 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. |
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| Keywords: | particle swarm optimization(PSO) foundation excavation collaborative optimization co-evolution hierarchy |
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