A systematic review of the whale optimization algorithm: theoretical foundation, improvements, and hybridizations
MH Nadimi-Shahraki, H Zamani… - … Methods in Engineering, 2023 - Springer
Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …
Fick's Law Algorithm: A physical law-based algorithm for numerical optimization
Recently, many metaheuristic optimization algorithms have been developed to address real-
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …
Chaotic marine predators algorithm for global optimization of real-world engineering problems
A novel metaheuristic called Chaotic Marine Predators Algorithm (CMPA) is proposed and
investigated for the optimization of engineering problems. CMPA integrates the exploration …
investigated for the optimization of engineering problems. CMPA integrates the exploration …
Boosting particle swarm optimization by backtracking search algorithm for optimization problems
Adjusting the search behaviors of swarm-based algorithms during their execution is a
fundamental errand for addressing real-world global optimizing challenges. Along this line …
fundamental errand for addressing real-world global optimizing challenges. Along this line …
Red-tailed hawk algorithm for numerical optimization and real-world problems
This study suggests a new nature-inspired metaheuristic optimization algorithm called the
red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy …
red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy …
En-MinWhale: An ensemble approach based on MRMR and Whale optimization for Cancer diagnosis
According to the WHO, Cancer is a prominent cause of mortality worldwide, accounting for~
10 million fatalities at the end of 2020. The most common types of cancers include Lung …
10 million fatalities at the end of 2020. The most common types of cancers include Lung …
Hybridizing of whale and moth-flame optimization algorithms to solve diverse scales of optimal power flow problem
The optimal power flow (OPF) is a practical problem in a power system with complex
characteristics such as a large number of control parameters and also multi-modal and non …
characteristics such as a large number of control parameters and also multi-modal and non …
Improved reptile search algorithm by salp swarm algorithm for medical image segmentation
L Abualigah, M Habash, ES Hanandeh… - Journal of bionic …, 2023 - Springer
This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile
Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray …
Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray …
Binary approaches of quantum-based avian navigation optimizer to select effective features from high-dimensional medical data
Many metaheuristic approaches have been developed to select effective features from
different medical datasets in a feasible time. However, most of them cannot scale well to …
different medical datasets in a feasible time. However, most of them cannot scale well to …
Boosting whale optimizer with quasi-oppositional learning and Gaussian barebone for feature selection and COVID-19 image segmentation
J Xing, H Zhao, H Chen, R Deng, L Xiao - Journal of bionic engineering, 2023 - Springer
Whale optimization algorithm (WOA) tends to fall into the local optimum and fails to converge
quickly in solving complex problems. To address the shortcomings, an improved WOA …
quickly in solving complex problems. To address the shortcomings, an improved WOA …