This paper introduces a novel federated learning model, FedWOA, which uses the whale optimization algorithm to determine optimal aggregation coefficients based on the local model weight vectors by pondering the updates considering the model performance and data dimensionality construct the global shared ...
The use of the Whale Optimization Algorithm (WOA) as a strategy update rule in the evolutionary public goods game has yielded remarkable results. The observed increase in contribution levels surpassing those of the standard public goods game underscores the effectiveness of WOA in incentivizing cooperat...
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论文阅读笔记-The Whale Optimization Algorithm 咕咕咕~
Hussain N, Khan MA, Kadry S, Tariq U, Mostafa RR, Choi J-I, Nam Y (2021) Intelligent deep learning and improved whale optimization algorithm based framework for object recognition. Hum Cent Comput Inf Sci 11(34):2021 Inthachot M, Supratid S (2007) A multi-subpopulation particle swarm ...
(SSA), Whale Optimizer Algorithm (WOA), Prairie Dog Optimization Algorithm (PDOA), Gazelle Optimization Algorithm (GOA), A Sinh Cosh Optimizer Algorithm (SCHOA) and White Sherk Optimizer Algorithm (WSOA), Archimedes Optimization Paradigm Algorithm (AOPA), Marine Predator Optimization Algorithm (MPOA)...
The whale optimization algorithm (WOA) is then used to train the multilayer perceptron neural network (MLP-NN). However, due to the large size of the data, the algorithm has not determined a clear boundary between the exploration and extraction phases. Next, to support this shortcoming, the ...
Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving some optimization problems, it faces many issues. Thus, WOA has attracted scholars' attention, and researchers frequently prefer to employ and improve it to address real-world application optimization problems....
In addition, as an attempt to improve the performance of SMA and proposing a multi-thresholding model has a high ability on tackling ISP, the whale optimization algorithm (WOA) will be integrated with it to borrow its exploration capability within the first half of the iterations and after ...