Algebraic Stability Analysis of Particle Swarm Optimization Using Stochastic Lyapunov Functions and Quantifier Elimination

Gerwien, Maximilian; Voßwinkel, Rick; Richter, Hendrik

doi:10.1007/s42979-021-00447-5

Cited by 3 publications

(1 citation statement)

References 55 publications

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“…How to improve network service quality with limited network resources while ensuring user QoE (quality of experience) has become an urgent problem for ISPs (Internet service providers) to solve [13]. At the same time, the current Internet architecture and best-effort service mode are insufficient for streaming media transmission [14].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Recognition of Sports Video in Physical Coaching Process Using Particle Swarm Optimization Algorithm

Wu-jun

2022

Mobile Information Systems

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The proportion of network video traffic in the network is increasing as Internet and streaming media technology continues to advance. The current network environment is becoming more complicated as new application services emerge. ISPs are grappling with how to effectively allocate limited network bandwidth resources while maintaining network service quality (Internet service provider). Currently, in the process of physical coaching, trainers use the video replay and analysis management method with less difficulty to explain the essentials of movements to athletes, but it is not intuitive enough to identify and classify network video services and can guide Internet service providers (ISPs) to optimise network resource management and rationally configure traffic engineering, in order to ensure the quality of service (QOS) of video services. Finally, using the shot as the unit, find similar video clips in the video database based on the video examples submitted by the user, and return retrieval results based on similarity. This paper uses streaming video as the research object and examines the transmission control of sports video using the particle swarm optimization algorithm in detail, based on a comprehensive introduction to the analysis and recognition of sports video in the process of physical coaching.

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Section: Introductionmentioning

confidence: 99%

Analysis and Recognition of Sports Video in Physical Coaching Process Using Particle Swarm Optimization Algorithm

Wu-jun

2022

Mobile Information Systems

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Enhanced adaptive-convergence in Harris’ hawks optimization algorithm

Mao,

Gui

2024

Artif Intell Rev

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This paper presents a novel enhanced adaptive-convergence in Harris’ hawks optimization algorithm (EAHHO). In EAHHO, considering that Harris’ hawks will adopt different perching strategies and chasing styles according to the value of the escaping energy parameter E, nonlinear adaptive-convergence factor a is designed and adjusted to enhance the convergence and robustness of the algorithm. Moreover, the convergence and stability of EAHHO are proved mathematically by using the Markov chain theory and Lyapunov stability theory respectively. Moreover, numerical simulation results of 14 HHOs with different nonlinear convergence factors on 23 benchmark functions show that the nonlinear convergence factor of EAHHO is applicable to challenging problems with unknown search spaces, and the comparisons with the selected well-established algorithms on 56 test functions demonstrate that EAHHO performs competitively and effectively. Finally, the experiment results show that EAHHO algorithm also has a good performance to solve the optimization problems with relatively high dimensions and graph size of Internet of Vehicles routing problem.

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Analysis and improvement of the binary particle swarm optimization

Kessentini

2024

Ann Oper Res

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Algebraic Stability Analysis of Particle Swarm Optimization Using Stochastic Lyapunov Functions and Quantifier Elimination

Cited by 3 publications

References 55 publications

Analysis and Recognition of Sports Video in Physical Coaching Process Using Particle Swarm Optimization Algorithm

Analysis and Recognition of Sports Video in Physical Coaching Process Using Particle Swarm Optimization Algorithm

Enhanced adaptive-convergence in Harris’ hawks optimization algorithm

Analysis and improvement of the binary particle swarm optimization

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