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Improved honey badger algorithms for parameter extraction in photovoltaic models
(Elsevier Gmbh, 2022)
Precise estimation of the parameter values of solar models is very essential for optimization of solar systems. Many studies that use metaheuristic algorithms have recently been proposed for parameter estimation and ...
Some remarks on activation function design in complex extreme learning using Schwarz lemma
(Elsevier, 2022)
Processing of complex valued data has become a challenge issue in classification problems where artificial neural networks are used as the classifier. This issue particularly arises in design of complex valued activation ...
Chaotic hunger games search optimization algorithm for global optimization and engineering problems
(Elsevier, 2022)
Chaotic maps have the characteristics of ergodicity and non-repeatability. Owing to these properties, they provide fast convergence by effectively scanning the search space in a metaheuristic optimization algorithm. The ...
Power Muirhead mean in spherical normal fuzzy environment and its applications to multi-attribute decision-making Spherical normal fuzzy power Muirhead mean
(Springer Heidelberg, 2022)
This study aims to propose the power Muirhead mean (PMM) operator in the spherical normal fuzzy sets (SNoFS) environment to solve multiple attribute decision-making problems. Spherical normal fuzzy sets better characterize ...
A novel version of slime mould algorithm for global optimization and real world engineering problems Enhanced slime mould algorithm
(Elsevier, 2022)
The slime mould algorithm is a stochastic optimization algorithm based on the oscillation mode of nature's slime mould, and it has effective convergence. On the other hand, it gets stuck at the local optimum and struggles ...
Application of a metaheuristic gradient-based optimizer algorithm integrated into artificial neural network model in a local geoid modeling with global navigation satellite systems/leveling measurements
(Wiley, 2022)
In the present article, the efficiency of a new hybrid learning method, named artificial neural network with gradient-based optimizer algorithm (ANN-GBO), is investigated to determine a local geoid. The outcomes of the ...