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发布时间：2019-03-09

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：ESI高被引论文、EI、SCIE

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.