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 …
Monarch butterfly optimization: a comprehensive review
Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …
An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm
EH Houssein, DA Abdelkareem, MM Emam… - Computers in Biology …, 2022 - Elsevier
Skin cancer is one of the worst cancers nowadays that poses a severe threat to the health
and safety of individuals. Therefore, skin cancer classification and early diagnosis are …
and safety of individuals. Therefore, skin cancer classification and early diagnosis are …
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 …
An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation
Image segmentation is one of the most significant and required procedures in pre-
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis
W Shan, Z Qiao, AA Heidari, H Chen… - Knowledge-Based …, 2021 - Elsevier
Moth flame optimization (MFO) is a swarm-based algorithm with mediocre performance and
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …
A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images
MM Emam, EH Houssein, RM Ghoniem - Computers in biology and …, 2023 - Elsevier
In this paper, we proposed an enhanced reptile search algorithm (RSA) for global
optimization and selected optimal thresholding values for multilevel image segmentation …
optimization and selected optimal thresholding values for multilevel image segmentation …
HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images
Recently, a novel virus called COVID-19 has pervasive worldwide, starting from China and
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …
Meta-heuristic optimization algorithms for solving real-world mechanical engineering design problems: a comprehensive survey, applications, comparative analysis …
Real-world engineering design problems are widespread in various research disciplines in
both industry and industry. Many optimization algorithms have been employed to address …
both industry and industry. Many optimization algorithms have been employed to address …
Enhanced Moth-flame optimizer with mutation strategy for global optimization
Y Xu, H Chen, J Luo, Q Zhang, S Jiao, X Zhang - Information Sciences, 2019 - Elsevier
Moth-flame optimization (MFO) is a widely used nature-inspired algorithm characterized by a
simple structure with simple parameters. However, for some complex optimization tasks …
simple structure with simple parameters. However, for some complex optimization tasks …