Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
Simulated annealing: theory and applications
Simulated annealing: theory and applications
Real-valued genetic algorithms for fuzzy grey prediction system
Fuzzy Sets and Systems
Damage detection using impulse response
Nonlinear Analysis: Theory, Methods & Applications
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Proceedings of the 3rd International Conference on Genetic Algorithms
Improving real-parameter genetic algorithm with simulated annealing for engineering problems
Advances in Engineering Software
A hybrid real-parameter genetic algorithm for function optimization
Advanced Engineering Informatics
An orthogonal genetic algorithm with quantization for globalnumerical optimization
IEEE Transactions on Evolutionary Computation
Virus coevolution partheno-genetic algorithms for optimal sensor placement
Advanced Engineering Informatics
Structural inverse analysis by hybrid simplex artificial bee colony algorithms
Computers and Structures
Expert Systems with Applications: An International Journal
Damage detection based on improved particle swarm optimization using vibration data
Applied Soft Computing
Localising and quantifying damage by means of a multi-chromosome genetic algorithm
Advances in Engineering Software
Journal of Intelligent Manufacturing
Finite Elements in Analysis and Design
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An effective algorithm, which combined an adaptive real-parameter genetic algorithm with simulated annealing, is proposed to detect damage occurrence in beam-type structures. The proposed algorithm uses the displacements of static response and natural frequencies of modal analysis, which are obtained by finite element software ANSYS. There are three different kinds of beam structures to verify the performance of the proposed algorithm. These three cases have different boundary conditions and different damage scenarios. From the results, it is demonstrated that the proposed algorithm is efficient in flexural stiffness damage identification for beam-type structures under free of noise condition. Even under the case of noise, the results show that the searched solutions are still in reasonable precision.