A Hybrid Particle Swarm Optimization and Genetic Algorithm for Model Updating of A Pier-Type Structure Using Experimental Modal Analysis

Mojtahedi, Alireza; Baybordi, Shahriar; Fathi, Amin; Yaghubzadeh, Aliakbar

doi:10.1007/s13344-020-0060-2

Cited by 6 publications

(2 citation statements)

References 22 publications

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“…The core of the particle swarm optimization algorithm is two formulas, namely, the velocity update formula and the position update formula:

where

is the

-dimensional velocity of the particle at time

is the

-dimensional position of the particle at time

is the inertia weight,

and

are the learning factors, and

and

are random numbers. In practice, the following Equation (33) is often used to update

[ 18 ]:

…”

Section: Tracking Path Cooperative Optimization Methods Based On Psomentioning

confidence: 99%

“…where V k+1 iD is the D-dimensional velocity of the particle at time k + 1, X k+1 iD is the Ddimensional position of the particle at time k + 1, ω is the inertia weight, c 1 and c 2 are the learning factors, and r 1 and r 2 are random numbers. In practice, the following Equation ( 33) is often used to update ω [18]:…”

Section: Cooperative Optimization Algorithm For Tracking Path Based O...mentioning

confidence: 99%

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Research on the Cooperative Target State Estimation and Tracking Optimization Method of Multi-UUV

Chen,

2023

Sensors

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This work studied two sub-problems of the cooperative state estimation and cooperative optimization of tracking paths in multiple unmanned underwater vehicle (multi-UUV) cooperative target tracking. The mathematical model of each component of the multi-UUV cooperative target tracking system was established. According to the target bearing-only information obtained by each unmanned underwater vehicle’s (UUV) detection, the extended Kalman filter algorithm based on interacting with multiple model bearing-only data was used to estimate the target state in a distributed way, and the federal fusion algorithm was used to fuse the estimated results of each UUV. The fused target state was predicted, and, based on the predicted target state, to achieve the persistent tracking of the target, the particle swarm optimization algorithm was used for the online collaborative optimization of the UUV tracking path. The simulation results showed that the multi-UUV distributed fusion filtering algorithm could obtain a better target state estimation effect, and the online path collaborative optimization method based on the prediction of the target state could achieve persistent target tracking.

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“…The core of the particle swarm optimization algorithm is two formulas, namely, the velocity update formula and the position update formula:

where

is the

-dimensional velocity of the particle at time

is the

-dimensional position of the particle at time

is the inertia weight,

and

are the learning factors, and

and

are random numbers. In practice, the following Equation (33) is often used to update

[ 18 ]:

…”

Section: Tracking Path Cooperative Optimization Methods Based On Psomentioning

confidence: 99%

Section: Cooperative Optimization Algorithm For Tracking Path Based O...mentioning

confidence: 99%

Research on the Cooperative Target State Estimation and Tracking Optimization Method of Multi-UUV

Chen,

2023

Sensors

View full text Add to dashboard Cite

show abstract

E-commerce Performance Automatic Evaluation System (ES) on Account of Genetic Optimization Algorithm (GOA) Under the Background of Big Data (BD)

H¹,

Qi²,

Tang³

et al. 2023

Lecture Notes on Data Engineering and Communications Technologies

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Damage detection of foundation pile in high-pile wharf based on statistical high-order moment of dynamic response under regular wave excitation

et al. 2023

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A Hybrid Particle Swarm Optimization and Genetic Algorithm for Model Updating of A Pier-Type Structure Using Experimental Modal Analysis

Cited by 6 publications

References 22 publications

Research on the Cooperative Target State Estimation and Tracking Optimization Method of Multi-UUV

Research on the Cooperative Target State Estimation and Tracking Optimization Method of Multi-UUV

E-commerce Performance Automatic Evaluation System (ES) on Account of Genetic Optimization Algorithm (GOA) Under the Background of Big Data (BD)

Damage detection of foundation pile in high-pile wharf based on statistical high-order moment of dynamic response under regular wave excitation

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