dc.contributor.authorXu, Jianfengen_US
dc.date.accessioned2008-09-25T06:38:06Z
dc.date.accessioned2017-07-23T08:26:49Z
dc.date.available2008-09-25T06:38:06Z
dc.date.available2017-07-23T08:26:49Z
dc.date.copyright2005en_US
dc.date.issued2005
dc.identifier.citationXu, J. F. (2005). Parameter indentification and damage detection using evolutionary programming. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/12132
dc.description.abstractThis study develops a general approach based on evolutionary programming (EP) as a backcalculation algorithm for structural nondestructive evaluation (NDE). Although EP has been proven to be robust in finding the global optimum, the speed of convergence could be slow for certain problems. This thesis presents an EP algorithm hybridized with local search strategies. Numerical experiments show that the algorithm improves the search efficiency of the traditional EP method without loss of effectiveness in finding the global optimum. The high search efficiency and effectiveness enhance the feasibility and practicality of applying an EP-based backcalculation algorithm for structural NDE.en_US
dc.format.extent215 p.
dc.language.isoen
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Civil engineering::Structures and design
dc.titleParameter identification and damage detection using evolutionary programmingen_US
dc.typeThesisen_US
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.contributor.supervisorSoh Chee Kiongen_US
dc.description.degreeDOCTOR OF PHILOSOPHY (CEE)en_US


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