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' …
A critical review of moth-flame optimization algorithm and its variants: structural reviewing, performance evaluation, and statistical analysis
A growing trend of introducing new metaheuristic algorithms and their improvements is
observed with almost the same inherited weaknesses. The main reason is that a few studies …
observed with almost the same inherited weaknesses. The main reason is that a few studies …
MFO-SFR: An enhanced moth-flame optimization algorithm using an effective stagnation finding and replacing strategy
Moth-flame optimization (MFO) is a prominent problem solver with a simple structure that is
widely used to solve different optimization problems. However, MFO and its variants …
widely used to solve different optimization problems. However, MFO and its variants …
An improved binary quantum-based avian navigation optimizer algorithm to select effective feature subset from medical data: A COVID-19 case study
Abstract Feature Subset Selection (FSS) is an NP-hard problem to remove redundant and
irrelevant features particularly from medical data, and it can be effectively addressed by …
irrelevant features particularly from medical data, and it can be effectively addressed by …
An evolutionary crow search algorithm equipped with interactive memory mechanism to optimize artificial neural network for disease diagnosis
H Zamani, MH Nadimi-Shahraki - Biomedical Signal Processing and …, 2024 - Elsevier
Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …
the thinking patterns of the human brain with specifications such as real-time learning, self …
Memory-based sand cat swarm optimization for feature selection in medical diagnosis
The rapid expansion of medical data poses numerous challenges for Machine Learning
(ML) tasks due to their potential to include excessive noisy, irrelevant, and redundant …
(ML) tasks due to their potential to include excessive noisy, irrelevant, and redundant …
A new human-based metaheuristic algorithm for solving optimization problems based on preschool education
P Trojovský - Scientific Reports, 2023 - nature.com
In this paper, with motivation from the No Free Lunch theorem, a new human-based
metaheuristic algorithm named Preschool Education Optimization Algorithm (PEOA) is …
metaheuristic algorithm named Preschool Education Optimization Algorithm (PEOA) is …
A systematic review of applying grey wolf optimizer, its variants, and its developments in different Internet of Things applications
Abstract The Internet of Things (IoT) shapes an organization of objects that can interface and
share information with different devices using sensors, computer programs, and other …
share information with different devices using sensors, computer programs, and other …
Enhanced gorilla troops optimizer powered by marine predator algorithm: global optimization and engineering design
This study presents an advanced metaheuristic approach termed the Enhanced Gorilla
Troops Optimizer (EGTO), which builds upon the Marine Predators Algorithm (MPA) to …
Troops Optimizer (EGTO), which builds upon the Marine Predators Algorithm (MPA) to …
A mutation-based modified binary fruit fly optimization for feature selection to predict CD4+/CD8+ T-cells epitopes
The healthcare sector is advancing with emerging technologies that help to detect new
diseases or viruses worldwide. Generally, virus detection is based on various symptomatic …
diseases or viruses worldwide. Generally, virus detection is based on various symptomatic …