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Indexed by:期刊论文

Date of Publication:2009-07-01

Journal:COMPUTERS & STRUCTURES

Included Journals:SCIE、EI、ESI高被引论文

Volume:87

Issue:13-14

Page Number:861-870

ISSN No.:0045-7949

Key Words:Inverse/back analysis; Artificial bee colony algorithms; Nelder-Mead simplex search method; Real coded genetic algorithms; Parameter identification; Concrete dams

Abstract: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.