Particle swarm optimization with damping factor and cooperative mechanism

The PSO inversion scheme was applied to the grounded wire TDEM method to infer subsurface resistivity models.  The forward modeling part was expressed in the Laplace domain, while the transformation into the time-domain was conducted using the Gaver-Stehvest method.  The inversion scheme was tested on noise-free and noisy synthetic data to evaluate the accuracy of the scheme and was then applied to field data recorded at two stations in a volcanic-geothermal region.  The inversion scheme gave an excellent fit between the observed data and the calculated data.

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“…From Eqs. (36) and (37), the dipole produces the vertical component of the magnetic field expressed as…”

Section: Magnetic Field From the Hed Sourcementioning

confidence: 99%

Global Inversion of Grounded Electric Source Time-domain Electromagnetic Data Using Particle Swarm Optimization

Hapsoro

Srigutomo

Purqon

et al. 2021

J. Eng. Technol. Sci.

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“…For the PSO algorithm, the researchers have made some beneficial improvements [48][49][50][51]. Among them, the improved scheme using multiple groups of particles has attracted researcher's attention [52][53][54][55][56]. Zheng proposed a Cooperative Dual-swarm PSO algorithm to improve the ability of PSO in deal with dynamic optimization problems [52].…”

Section: Introductionmentioning

confidence: 99%

“…Although two groups of particles are used to search, there is no information interaction between them [54]. He used damping factor and cooperation mechanism to improve the performance of particle swarm optimization algorithm [55]. Hajer proposed a modified scheme that uses two groups of particles to search.…”

Section: Introductionmentioning

confidence: 99%

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Mechanically Assisted Neurorehabilitation: A Novel Six-Bar Linkage Mechanism for Gait Rehabilitation

Yan

Zhao

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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Repeated and intensive gait training can improve muscle strength and movement coordination of patients with neurological or orthopedic impairments. However, conventional physical therapy by a physiotherapist is laborious and expensive. Therefore, this therapy is not accessible for the majority of patients. This paper presents a six-bar linkage mechanism for human gait rehabilitation with a natural ankle trajectory. Firstly, a six-bar linkage mechanism is selected as the original mechanism to construct a gait rehabilitation device. Then the ankle trajectory is formulated as a function of the crank angle. And the rotation angle of the crank is set as a linear function of time. Therefore, constant speed motor is sufficient to control the mechanism. For the dimensional synthesis, the precise point distances of the gait trajectory and the coupler curve are set as objective functions, with the kinematic constraints including in the optimization procedure. To obtain the optimal structure design parameters, a cooperative dual particle swarm optimization algorithm is developed. The results show that the coupler curve matches well with the gait trajectory. The average distance between the 60 precision points is 3.5 mm.

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“…Ref. [36] used a damping factor and a cooperative mechanism for quickly searching the solutions residing between local-oriented swarms and global-oriented swarms. A damping factor and a cooperative mechanism are applied during the position updating step to find the best swarm position.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2021

J. Eng. Technol. Sci.

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The PSO inversion scheme was applied to the grounded wire TDEM method to infer subsurface resistivity models. The forward modeling part was expressed in the Laplace domain, while the transformation into the time-domain was conducted using the Gaver-Stehvest method. The inversion scheme was tested on noise-free and noisy synthetic data to evaluate the accuracy of the scheme and was then applied to field data recorded at two stations in a volcanic-geothermal region. The inversion scheme gave an excellent fit between the observed data and the calculated data.

show abstract

Particle swarm optimization with damping factor and cooperative mechanism

Cited by 34 publications

References 28 publications

Global Inversion of Grounded Electric Source Time-domain Electromagnetic Data Using Particle Swarm Optimization

Global Inversion of Grounded Electric Source Time-domain Electromagnetic Data Using Particle Swarm Optimization

Mechanically Assisted Neurorehabilitation: A Novel Six-Bar Linkage Mechanism for Gait Rehabilitation

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