Reliability-based design optimization with discrete design variables and non-smooth performance functions: AB-PSO algorithm

Automation in Construction

Volumn 20, Issue 5, 2011, Pages 610-619

  Yang, I Tung ^a   Hsieh, Yi Hung ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Metaheuristics; Particle swarm optimization; Reliability based design optimization (RBDO); Subset simulation; Uncertainty analysis

Indexed keywords

AUTOTUNING; BALANCED DESIGN; COMBINATORIAL OPTIMIZATION PROBLEMS; COMMERCIAL STANDARDS; COMPONENT SIZE; CONTROL PARAMETERS; DESIGN CODES; DIRECT MONTE CARLO SIMULATIONS; DISCRETE DESIGN VARIABLES; DISCRETE OPTIMIZATION; FAILURE PROBABILITY; GA (GENETIC ALGORITHM); GRADIENT INFORMATIONS; GRADIENT-BASED OPTIMIZERS; MANN-WHITNEY U TEST; META HEURISTICS; NEW PARTICLE SWARM OPTIMIZATION; NON-DIFFERENTIABLE; NON-PARAMETRIC; NON-SMOOTH; NP COMPLETE; OPTIMAL DESIGN; P-VALUES; PERFORMANCE FUNCTIONS; PSO ALGORITHMS; RELIABILITY CONSTRAINTS; RELIABILITY-BASED DESIGN OPTIMIZATION; RELIABILITY-BASED DESIGN OPTIMIZATION (RBDO); SAFE REGION; STANDARD PSO; SUBSET SIMULATION; TEN-BAR TRUSS; TRIAL-AND-ERROR PROCEDURES;

COMBINATORIAL OPTIMIZATION; COMPUTATIONAL EFFICIENCY; COMPUTER SIMULATION; GENETIC ALGORITHMS; MACHINE DESIGN; MONTE CARLO METHODS; OPTIMAL SYSTEMS; PARAMETER ESTIMATION; RELIABILITY; STANDARDS; STATISTICAL TESTS; UNCERTAINTY ANALYSIS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 79957491146     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2010.12.003     Document Type: Article

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