Title :
Decompose-Collaborated Evolution Optimum Design of Foundation Pit Engineering
Author :
Zhou, Dong ; Wu, Heng ; Mai, Jia-min ; Li, Tao-shen ; Chen, Qiu-lian
Author_Institution :
Sch. of Civil Eng. & Archit., Guangxi Univ., Nanning, China
Abstract :
Foundation pit engineering is a complex system with multi-tier and multi-parameter. Since the scheme design and detail structure design belong to two different tiers of its optimum design, the foundation pit engineering´s optimum design needs to combine these two tiers for co-optimization. Thus, this paper offered mathematical model for optimum design of foundation pit engineering´s scheme, detail, and sub-detail. By decomposing foundation pit engineering´s optimum design system into a few low-dimensional, sub-system corresponded, relatively independent sub-optimizers and a low-dimensional system optimizer for global co-optimization, it aims not only to construct a decompose-collaborated evolution model for foundation pit engineering based on genetic algorithm but also to design and realize a distributed co-evolution system to improve the convergence speed and global searching ability, and gain the better solutions.
Keywords :
design engineering; foundations; genetic algorithms; groupware; search problems; structural engineering; convergence speed; foundation pit engineering; genetic algorithm; multiparameter system; multitier system; optimum design system; Couplings; Encoding; Genetics; Mathematical model; Optimization; Servers; Soil; co-evolution; foundation pit engineering; mathematical model; optimum design;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.254