A hybrid particle swarm optimization (PSO)-simplex algorithm for damage identification of delaminated beams

DOI10.1155/2012/607418zbMath1264.90186OpenAlexW2063539452WikidataQ58912284 ScholiaQ58912284MaRDI QIDQ1954987

Zhongqing Su, Xiangdong Qian, Maosen Cao, Jiangang Chen

Publication date: 11 June 2013

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/607418

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Estimation and detection in stochastic control theory (93E10) Optimization problems in solid mechanics (74P99) Brittle damage (74R05)

Related Items (1)

Parameter identification of anaerobic wastewater treatment bioprocesses using particle swarm optimization

Uses Software

• KELLEY

Cites Work

• Unnamed Item
• Recent approaches to global optimization problems through particle Swarm optimization
• A hybrid particle swarm optimization-simplex algorithm (PSOS) for structural damage identification
• Monte Carlo estimates of the log determinant of large sparse matrices
• Damage of fiber-reinforced composite materials with micromechanical characterization
• Genetic fuzzy system for damage detection in beams and helicopter rotor blades.
• Fractal dimension analysis of higher-order mode shapes for damage identification of beam structures
• Vibration–based structural damage identification
• A Simplex Method for Function Minimization

This page was built for publication: A hybrid particle swarm optimization (PSO)-simplex algorithm for damage identification of delaminated beams