A comprehensive survey on recent metaheuristics for feature selection
Feature selection has become an indispensable machine learning process for data
preprocessing due to the ever-increasing sizes in actual data. There have been many …
preprocessing due to the ever-increasing sizes in actual data. There have been many …
Advances in sine cosine algorithm: a comprehensive survey
L Abualigah, A Diabat - Artificial Intelligence Review, 2021 - Springer
Abstract The Sine Cosine Algorithm (SCA) is a population-based optimization algorithm
introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions …
introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions …
Spider wasp optimizer: a novel meta-heuristic optimization algorithm
M Abdel-Basset, R Mohamed, M Jameel… - Artificial Intelligence …, 2023 - Springer
This work presents a new nature-inspired meta-heuristic algorithm named spider wasp
optimization (SWO) algorithm, which is based on replicating the hunting, nesting, and mating …
optimization (SWO) algorithm, which is based on replicating the hunting, nesting, and mating …
A survey on new generation metaheuristic algorithms
Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …
the solution of intractable optimization problems. Major advances have been made since the …
Mantis Search Algorithm: A novel bio-inspired algorithm for global optimization and engineering design problems
M Abdel-Basset, R Mohamed, M Zidan… - Computer Methods in …, 2023 - Elsevier
This study presents a new nature-inspired optimization algorithm, namely the Mantis Search
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …
Salp swarm algorithm: a comprehensive survey
This paper completely introduces an exhaustive and a comprehensive review of the so-
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …
[PDF][PDF] Group search optimizer: a nature-inspired meta-heuristic optimization algorithm with its results, variants, and applications.
L Abualigah - Neural Computing & Applications, 2021 - researchgate.net
In this paper, to keep the researchers interested in nature-inspired algorithms and
optimization problems, a comprehensive survey of the group search optimizer (GSO) …
optimization problems, a comprehensive survey of the group search optimizer (GSO) …
A new feature selection method to improve the document clustering using particle swarm optimization algorithm
The large amount of text information on the Internet and in modern applications makes
dealing with this volume of information complicated. The text clustering technique is an …
dealing with this volume of information complicated. The text clustering technique is an …
Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering
LM Abualigah, AT Khader - The Journal of Supercomputing, 2017 - Springer
The text clustering technique is an appropriate method used to partition a huge amount of
text documents into groups. The documents size affects the text clustering by decreasing its …
text documents into groups. The documents size affects the text clustering by decreasing its …
Hybrid clustering analysis using improved krill herd algorithm
In this paper, a novel text clustering method, improved krill herd algorithm with a hybrid
function, called MMKHA, is proposed as an efficient clustering way to obtain promising and …
function, called MMKHA, is proposed as an efficient clustering way to obtain promising and …