A comprehensive survey: Whale Optimization Algorithm and its applications
FS Gharehchopogh, H Gholizadeh - Swarm and Evolutionary Computation, 2019 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …
Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments
N Rana, MSA Latiff, SM Abdulhamid… - Neural Computing and …, 2020 - Springer
Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …
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 …
Boosting whale optimization with evolution strategy and Gaussian random walks: An image segmentation method
Stochastic optimization has been found in many applications, especially for several local
optima problems, because of their ability to explore and exploit various zones of the feature …
optima problems, because of their ability to explore and exploit various zones of the feature …
Chaotic whale optimization algorithm
G Kaur, S Arora - Journal of Computational Design and …, 2018 - academic.oup.com
Abstract The Whale Optimization Algorithm (WOA) is a recently developed meta-heuristic
optimization algorithm which is based on the hunting mechanism of humpback whales …
optimization algorithm which is based on the hunting mechanism of humpback whales …
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
AE Ezugwu, AM Ikotun, OO Oyelade… - … Applications of Artificial …, 2022 - Elsevier
Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …
active research in many fields of study, such as computer science, data science, statistics …
FOX: a FOX-inspired optimization algorithm
H Mohammed, T Rashid - Applied Intelligence, 2023 - Springer
This paper proposes a novel nature-inspired optimization algorithm called the Fox optimizer
(FOX) which mimics the foraging behavior of foxes in nature when hunting preys. The …
(FOX) which mimics the foraging behavior of foxes in nature when hunting preys. The …
Discrete Grey Wolf Optimizer for symmetric travelling salesman problem
Abstract Grey Wolf Optimizer (GWO) is a recently developed population-based metaheuristic
algorithm which imitates the behaviour of grey wolves for survival. Initially, GWO was …
algorithm which imitates the behaviour of grey wolves for survival. Initially, GWO was …
From ants to whales: metaheuristics for all tastes
Nature-inspired metaheuristics comprise a compelling family of optimization techniques.
These algorithms are designed with the idea of emulating some kind natural phenomena …
These algorithms are designed with the idea of emulating some kind natural phenomena …
A systematic and meta‐analysis survey of whale optimization algorithm
HM Mohammed, SU Umar… - Computational …, 2019 - Wiley Online Library
The whale optimization algorithm (WOA) is a nature‐inspired metaheuristic optimization
algorithm, which was proposed by Mirjalili and Lewis in 2016. This algorithm has shown its …
algorithm, which was proposed by Mirjalili and Lewis in 2016. This algorithm has shown its …