个人信息Personal Information
副教授
硕士生导师
性别:女
毕业院校:大连理工大学
学位:硕士
所在单位:水利工程系
学科:水工结构工程
电子邮箱:xuqing@dlut.edu.cn
Structural inverse analysis by hybrid simplex artificial bee colony algorithms
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论文类型:期刊论文
发表时间:2009-07-01
发表刊物:COMPUTERS & STRUCTURES
收录刊物:SCIE、EI、ESI高被引论文
卷号:87
期号:13-14
页面范围:861-870
ISSN号:0045-7949
关键字:Inverse/back analysis; Artificial bee colony algorithms; Nelder-Mead simplex search method; Real coded genetic algorithms; Parameter identification; Concrete dams
摘要:A hybrid simplex artificial bee colony algorithm (HSABCA) which combines Nelder-Mead simplex method with artificial bee colony algorithm (ABCA) is proposed for inverse analysis problems. The proposed algorithm is applied to parameter identification of concrete dam-foundation systems. To verify the performance of HSABCA, it is compared with the basic ABCA and a real coded genetic algorithm (RCGA) on two examples: a gravity dam and an arc dam. Results show that the proposed algorithm is an efficient tool for inverse analysis and it performs much better than ABCA and RCGA on such problems. (C) 2009 Elsevier Ltd. All rights reserved.