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Journal ArticleDOI

Structural damage detection using artificial bee colony algorithm with hybrid search strategy

TLDR
Final results show the present method can acquire the better identification results, compared with those from GA, the original ABC and quick ABC (QABC) algorithm, even under some measurement noise.
Abstract
An approach for structural damage detection using the artificial bee colony (ABC) algorithm with hybrid search strategy based on modal data is presented. More search strategies are offered and the bee will choose one search mode based on the tournament selection strategy. And a kind of elimination mechanism is introduced to improve the convergence rate. A truss and a plate are studied as two numerical examples to illustrate the efficiency of proposed method. An experimental work on a beam is studied for further verification. Final results show the present method can acquire the better identification results, compared with those from GA, the original ABC and quick ABC (QABC) algorithm, even under some measurement noise.

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Citations
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Journal ArticleDOI

Structural damage identification based on autoencoder neural networks and deep learning

TL;DR: An autoencoder based framework for structural damage identification, which can support deep neural networks and be utilized to obtain optimal solutions for pattern recognition problems of highly non-linear nature, such as learning a mapping between the vibration characteristics and structural damage.
Journal ArticleDOI

Structural damage detection using finite element model updating with evolutionary algorithms: a survey

TL;DR: This study aims to present a review of critical aspects of structural damage identification using evolutionary algorithm-based finite element model updating for structural damage detection and possible research directions for utilizing evolutionary algorithms to solve damage detection problems.
Journal ArticleDOI

Interactive search algorithm: A new hybrid metaheuristic optimization algorithm

TL;DR: The achieved numerical results demonstrate that the proposed method is competitive with other well-established metaheuristic methods.
Journal ArticleDOI

A Novel Artificial Bee Colony Algorithm for Structural Damage Detection

TL;DR: A novel artificial bee colony (ABC) algorithm to detect structural damage via modal and frequency analyses is proposed (named as TCABC algorithm), and tabu search method and chaotic search method are adopted in the proposed algorithm to enhance the exploration and exploitation ability.
References
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Journal ArticleDOI

A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

TL;DR: Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behaviour of honey bee swarm that is used for optimizing multivariable functions and the results showed that ABC outperforms the other algorithms.
Journal ArticleDOI

On the performance of artificial bee colony (ABC) algorithm

TL;DR: The simulation results show that the performance of ABC algorithm is comparable to those of differential evolution, particle swarm optimization and evolutionary algorithm and can be efficiently employed to solve engineering problems with high dimensionality.
Journal ArticleDOI

A comparative study of Artificial Bee Colony algorithm

TL;DR: Results show that the performance of the ABC is better than or similar to those of other population-based algorithms with the advantage of employing fewer control parameters.
Journal ArticleDOI

A global best artificial bee colony algorithm for global optimization

TL;DR: A modified ABC algorithm (denoted as ABC/best), which is based on that each bee searches only around the best solution of the previous iteration in order to improve the exploitation, is proposed.
Journal ArticleDOI

Stiffness matrix adjustment using mode data

TL;DR: In this paper, a procedure that uses structural connectivity information to optimally adjust deficient stiffness matrices is presented. But the adjustment performed are such that the percentage change to each stiffness coefficient is minimized.
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