An improved PSO algorithm for parameter identification of nonlinear dynamic hysteretic models

Zhang, Junhao; Xia, Pinqi

doi:10.1016/j.jsv.2016.11.006

Cited by 147 publications

(68 citation statements)

References 24 publications

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“…Each iteration adjusts the speed and position of particles according to the optimal value of individual fitness value and population fitness value. To avoid premature convergence of PSO, adaptive mutation operation, and nonlinear dynamic methods are introduced in this paper [29,30].…”

Section: Particle Swarm Optimization Algorithm With Adaptive Mutationmentioning

confidence: 99%

Research on Transmission Network Expansion Planning Considering Splitting Control

et al. 2020

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A robust and reliable grid is one of the core elements for power network planning. Specifically, splitting is an effective way for power grid out-of-step oscillation. Since the cross-section of system out-of-step is mostly found on the weak connection lines, reducing the number of those lines can be conducive to the system partition, save the finding time of the optimal splitting cross-section, and improve the performance of the splitting control. This paper proposed an enhanced method based on slow coherence theory for weak connection lines' identification and monitoring. The ratio of the number of weak connection lines to the number of all the lines, called weak connection coefficient, is considered as a crucial factor. A bi-level programming model, which perceives the minimum connection coefficient as the optimization goal, is built for the transmission network. Additionally, a fused algorithm, consisting of Boruvka algorithm and particle swarm optimization with adaptive mutation and inertia weight, is employed to solve the proposed method in the instances of an 18-node IEEE Graver system and a practical power grid in East China. Simulation results in PSD-BPA are conducted to verify the effectiveness of the weak connection monitoring method and transmission network planning model.

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Section: Particle Swarm Optimization Algorithm With Adaptive Mutationmentioning

confidence: 99%

Research on Transmission Network Expansion Planning Considering Splitting Control

et al. 2020

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“…The experiment was performed by analyzing MSE, PSNR and SDME measures with respect to varying embedded frames. Furthermore, statistical analysis was conducted with respect to all the measures, and the improvement of the adopted model was proven over the conventional PSO [24] model. The sample images of the existing and proposed model are shown in Fig.…”

Section: A Simulation Proceduresmentioning

confidence: 99%

Video Watermarking for Copyright Protection with Genetic-Based Frame Selection

Alotaibi¹

2019

JKAU Comp IT Sci

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Recently, video watermarking has received much consideration. Several applications in a variety of domains have been implemented, and many are progressing. This paper intends to formulate a novel video watermarking framework that includes three stages: (i) Optimal video frame prediction, (ii) A watermark embedding process, and (iii) A watermark extraction process. In the proposed model, the optimal frame prediction is carried out using the deep belief network (DBN) framework. Initially, randomly chosen frames from each video are used as the input to a genetic algorithm (GA) model that optimally chooses the frames such that the peak signal-tonoise ratio (PSNR) should be maximal. The frames are assigned with a label of one or zero, where a label of one denotes a frame with better PSNR (can select for embedding process) and a label of zero denotes the frame with reduced PSNR (cannot be used for embedding). Consequently, a data library is formed from the obtained results, where each video frame is determined with their graylevel cooccurrence matrix (GLCM) features and labels (can embed or not), which is then trained in the DBN framework, from which the optimal frames can be predicted efficiently while testing. Furthermore, the watermark embedding process and watermark extraction process are carried out, and thus, the image can be embedded within the optimally selected frames.

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“…Here, the analysis was done by carrying out the simulation for 100. The performance of the suggested scheme was further compared with the other conventional schemes such as PSO [29], GWO [25], FF [30], WOA [31], JA [32], MBO [24] and MC-JA [33] in terms of the cost function. The simulation results for the four above mentioned configurations were given by Fig.…”

Section: A Simulation Setupmentioning

confidence: 99%

Hybridization of Monarch Butterfly and Grey Wolf Optimization for Optimal Routing in VANET

Santhosh¹,

Dhandapani²

2019

IJEAT

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The routing process in Vehicular Ad hoc Networks (VANET) remains a more demanding task in city backgrounds. Identifying an optimal end-to-end path that satisfies reduced overhead and delay control is still facing a lot of difficulties and limitations in recent days. These limitations are owing to the increased movement of vehicles, the repeated failures of a path, and the varied obstacles that might have an effect on the consistency of the data routing and transmission. Hence, this paper intends to present an enhanced VANET routing model by considering the network quality metrics including congestion, travel, collision and QoS awareness cost. Accordingly, in the proposed work, a cost model is modeled as the solution for the vehicle routing problem by taking into account the above-mentioned constraints. For determining the optimal route, this research work establishes a new hybrid algorithm known as Grey Updated Butterfly Operator (GU-BO) that links both the concepts of Monarch Butterfly Optimization (MBO) Algorithm and Grey Wolf Optimization (GWO). Finally, the performance of the implemented approach is compared over other conventional approaches with respect to congestion and cost analysis, and proves its superiority of proposed work over others.

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An improved PSO algorithm for parameter identification of nonlinear dynamic hysteretic models

Cited by 147 publications

References 24 publications

Research on Transmission Network Expansion Planning Considering Splitting Control

Research on Transmission Network Expansion Planning Considering Splitting Control

Video Watermarking for Copyright Protection with Genetic-Based Frame Selection

Hybridization of Monarch Butterfly and Grey Wolf Optimization for Optimal Routing in VANET

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