[HTML][HTML] Enhanced Aquila optimizer based on tent chaotic mapping and new rules
Y Fu, D Liu, S Fu, J Chen, L He - Scientific Reports, 2024 - nature.com
Metaheuristic algorithms, widely applied across various domains due to their simplicity and
strong optimization capabilities, play a crucial role in problem-solving. While the Aquila …
strong optimization capabilities, play a crucial role in problem-solving. While the Aquila …
[HTML][HTML] Gaussian mutation–orca predation algorithm–deep residual shrinkage network (DRSN)–temporal convolutional network (TCN)–random forest model: an …
M Ehteram, M Afshari Nia, F Panahi… - Environmental Sciences …, 2024 - Springer
Monitoring water resources requires accurate predictions of rainfall data. Our study
introduces a novel deep learning model named the deep residual shrinkage network …
introduces a novel deep learning model named the deep residual shrinkage network …
Gaussian mutation-alpine skiing optimization algorithm-recurrent attention unit-gated recurrent unit-extreme learning machine model: an advanced predictive model …
M Ehteram, F Barzegari Banadkooki… - … Research and Risk …, 2024 - Springer
Evaporation prediction is essential for efficient water resource management and
environmental monitoring. Our study introduces a new model named recurrent attention unit …
environmental monitoring. Our study introduces a new model named recurrent attention unit …
Sine Cosine Embedded Squirrel Search Algorithm for Global Optimization and Engineering Design
L Zeng, J Shi, M Li, S Wang - Cluster Computing, 2023 - Springer
Abstract The Squirrel Search Algorithm (SSA) is an innovative optimization method that
takes inspiration from the foraging and gliding behavior of squirrels. Despite its simple …
takes inspiration from the foraging and gliding behavior of squirrels. Despite its simple …
[PDF][PDF] A Surrogate Model-based Aquila Optimizer for Solving High-dimensional Computationally Expensive Problems
This paper introduces a variant version of the Aquila Optimizer (AO) for efficiently solving
high-dimensional computationally expensive problems. Traditional optimization techniques …
high-dimensional computationally expensive problems. Traditional optimization techniques …
Digital Channel Equalizer Using Functional Link Artificial Neural Network Trained with Quantum Aquila Optimizer
A Panda - SN Computer Science, 2024 - Springer
In digital communication, channel equalization plays an important role in mitigating the
effects of inter-symbol interference, non-linearity and noise. In case of wireless channels, it …
effects of inter-symbol interference, non-linearity and noise. In case of wireless channels, it …