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Apr 2, 2021 · In this algorithm, the arrival flow is regarded as glowworm swarm and the node service rate is regarded as attractiveness at first, and in order ...
Jan 1, 2021 · In this algorithm, the arrival flow is regarded as glowworm swarm and the node service rate is regarded as attractiveness at first, and in order ...
Abstract: In order to mitigate congestion caused by the rapid growth of computer networks, a novel traffic prediction algorithm PGS (Prediction method based ...
The invention discloses a GSO (glowworm swarm optimization) based highway traffic prediction method. The method mainly includes the steps of firstly ...
Missing: optimisation. | Show results with:optimisation.
The Glowworm Swarm Optimization (GSO) algorithm is a relatively new swarm intelligence algorithm that simulates the movement of the glowworms in a swarm ...
Missing: actual optimisation.
Apr 25, 2024 · The actual traffic prediction method based on glowworm swarm optimisation. Int. J. Wirel. Mob. Comput. 20(2): 153-158 (2021); 2020. [j3]. view.
Jun 28, 2024 · The algorithm uses the Glowworm Swarm Algorithm to obtain the better initial weights and thresholds of the network, to make up for the random ...
Missing: optimisation. | Show results with:optimisation.
GSOBPNN method has a high prediction effect both in the optimal embedding dimension time delay and in the non-optimal embedding dimension time delay. So GSOBPNN ...
Missing: optimisation. | Show results with:optimisation.
Jan 1, 2019 · Firstly, this method is using the wavelet exchange to resolve the service flow, and using its wavelet coefficient and metric coefficient as the ...
Feb 6, 2020 · IBGSOMFD is a novel hybrid approach, which can make up for the short- ages of traditional methods, and attain accurate and effective prediction.
Missing: optimisation. | Show results with:optimisation.