Application of particle swarm optimization and genetic algorithms to multiobjective damage identification inverse problems with modelling errors

Meccanica

Volumn 45, Issue 5, 2010, Pages 723-734

  Perera, Ricardo ^a   Fang, Sheng En ^a   Ruiz, Antonio ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Damage identification; Modelling errors; Multiobjective optimization; PSO; SPGA

Indexed keywords

ACCURATE ESTIMATION; ARTIFICIAL INTELLIGENCE TECHNIQUES; BASELINE MODELS; CLASSICAL TECHNIQUES; DAMAGE ASSESSMENTS; DAMAGE IDENTIFICATION; INVERSE METHODS; MODAL SENSITIVITIES; MODELLING ERROR; MULTI OBJECTIVE; MULTI-OBJECTIVE PROBLEM; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION METHOD; PSO; RESEARCH TOPICS; SPGA; SYSTEM IDENTIFICATIONS;

ARTIFICIAL INTELLIGENCE; DAMAGE DETECTION; DIFFERENTIAL EQUATIONS; ERRORS; GENETIC ALGORITHMS; INVERSE PROBLEMS; PARTICLE SWARM OPTIMIZATION (PSO); STRUCTURAL HEALTH MONITORING;

MULTIOBJECTIVE OPTIMIZATION;

EID: 78049442988     PISSN: 00256455     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11012-009-9264-5     Document Type: Conference Paper

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