K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data
Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …
[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
The explosion of online social networks in recent decades has significantly improved in
which the way individuals communicate with one another. People trust social networks …
which the way individuals communicate with one another. People trust social networks …
A sinh cosh optimizer
Currently, meta-heuristic algorithms have been widely studied and applied, but balancing
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …
exploration and exploitation remains a challenge. In this study, a novel meta-heuristic …
A coupled artificial neural network with artificial rabbits optimizer for predicting water productivity of different designs of solar stills
In this study, a coupled multi-layer perceptrons (MLP) model with an artificial rabbits
optimizer (ARO) is developed to predict the water productivity of different designs of solar …
optimizer (ARO) is developed to predict the water productivity of different designs of solar …
Damage assessment in laminated composite plates using modal Strain Energy and YUKI-ANN algorithm
In this paper, a new hybrid YUKI-ANN is implemented for Structural Health Monitoring (SHM)
of laminated composite plates. A finite element model is constructed and used to identify …
of laminated composite plates. A finite element model is constructed and used to identify …
A new metaheuristic algorithm: Shrimp and Goby association search algorithm and its application for damage identification in large-scale and complex structures
This paper presents the application of a new Shrimp and Goby Association Search algorithm
(SGA) to solve large-scale global optimization problems. The performance of SGA is …
(SGA) to solve large-scale global optimization problems. The performance of SGA is …
A new movement strategy of grey wolf optimizer for optimization problems and structural damage identification
In this paper, an improved Grey Wolf Optimizer (GWO) algorithm, termed LGWO, is
introduced. The enhanced version is interesting and complementary in terms of the direction …
introduced. The enhanced version is interesting and complementary in terms of the direction …
Termite life cycle optimizer
This paper introduces a novel bio-inspired meta-heuristic optimization algorithm, named
termite life cycle optimizer (TLCO), which is based on both the life cycle of a termite colony …
termite life cycle optimizer (TLCO), which is based on both the life cycle of a termite colony …
GMO: geometric mean optimizer for solving engineering problems
This paper introduces a new meta-heuristic technique, named geometric mean optimizer
(GMO) that emulates the unique properties of the geometric mean operator in mathematics …
(GMO) that emulates the unique properties of the geometric mean operator in mathematics …
Structure damage identification in dams using sparse polynomial chaos expansion combined with hybrid K-means clustering optimizer and genetic algorithm
Structural damage identification plays a crucial role in structural health monitoring. In this
study, a novelty method for structural damage identification is developed, which employs an …
study, a novelty method for structural damage identification is developed, which employs an …