Recent advances in Grey Wolf Optimizer, its versions and applications
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
Fractional multivariate grey Bernoulli model combined with improved grey wolf algorithm: Application in short-term power load forecasting
C Yin, S Mao - Energy, 2023 - Elsevier
The accurate prediction of power load is helpful to make reasonable power generation plans
and scientific dispatching schemes and achieve the goal of energy saving and emission …
and scientific dispatching schemes and achieve the goal of energy saving and emission …
Opposition-based learning grey wolf optimizer for global optimization
X Yu, WY Xu, CL Li - Knowledge-Based Systems, 2021 - Elsevier
Grey wolf optimizer is a novel swarm intelligent algorithm. It has received lots of interest from
the heuristic algorithm community for its superior optimization capacity and few parameters …
the heuristic algorithm community for its superior optimization capacity and few parameters …
Binary aquila optimizer for selecting effective features from medical data: A COVID-19 case study
Medical technological advancements have led to the creation of various large datasets with
numerous attributes. The presence of redundant and irrelevant features in datasets …
numerous attributes. The presence of redundant and irrelevant features in datasets …
Mutation-driven grey wolf optimizer with modified search mechanism
The Grey wolf optimizer (GWO) is a recently introduced popular swarm-intelligence-based
metaheuristic algorithm, compared to other algorithms, it has shown competitive …
metaheuristic algorithm, compared to other algorithms, it has shown competitive …
Artificial ecosystem-based optimization with dwarf mongoose optimization for feature selection and global optimization problems
I Al-Shourbaji, P Kachare, S Fadlelseed… - International Journal of …, 2023 - Springer
Meta-Heuristic (MH) algorithms have recently proven successful in a broad range of
applications because of their strong capabilities in picking the optimal features and …
applications because of their strong capabilities in picking the optimal features and …
Leopard seal optimization (LSO): A natural inspired meta-heuristic algorithm
The main objective of this paper is to introduce a new NIO algorithm inspired from the
hunting strategy of the leopard seals called Leopard Seal Optimization (LSO) to provide a …
hunting strategy of the leopard seals called Leopard Seal Optimization (LSO) to provide a …
Competing leaders grey wolf optimizer and its application for training multi-layer perceptron classifier
Z Yang - Expert Systems with Applications, 2024 - Elsevier
The multi-layer perceptron (MLP) is a highly popular artificial neural network used for
classification across various applications. Swarm intelligence algorithms, such as the grey …
classification across various applications. Swarm intelligence algorithms, such as the grey …
Hierarchical manta ray foraging optimization with weighted fitness-distance balance selection
Z Tang, K Wang, S Tao, Y Todo, RL Wang… - International Journal of …, 2023 - Springer
Manta ray foraging optimization (MRFO) tends to get trapped in local optima as it relies on
the direction provided by the previous individual and the best individual as guidance to …
the direction provided by the previous individual and the best individual as guidance to …
Covariance matrix adapted grey wolf optimizer tuned eXtreme gradient boost for bi-directional modelling of direct metal deposition process
The process of direct metal deposition for cladding has become extremely popular. Online
condition monitoring of the process is necessary to obtain a desired clad geometry. The …
condition monitoring of the process is necessary to obtain a desired clad geometry. The …