[HTML][HTML] 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 …
A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT
The increasing trend toward using the Internet of Things (IoT) increased the number of
intrusions and intruders annually. Hence, the integration, confidentiality, and access to …
intrusions and intruders annually. Hence, the integration, confidentiality, and access to …
[HTML][HTML] Coronavirus mask protection algorithm: A new bio-inspired optimization algorithm and its applications
Y Yuan, Q Shen, S Wang, J Ren, D Yang… - Journal of Bionic …, 2023 - Springer
Nowadays, meta-heuristic algorithms are attracting widespread interest in solving high-
dimensional nonlinear optimization problems. In this paper, a COVID-19 prevention-inspired …
dimensional nonlinear optimization problems. In this paper, a COVID-19 prevention-inspired …
[HTML][HTML] CPPE: An improved phasmatodea population evolution algorithm with chaotic maps
The Phasmatodea Population Evolution (PPE) algorithm, inspired by the evolution of the
phasmatodea population, is a recently proposed meta-heuristic algorithm that has been …
phasmatodea population, is a recently proposed meta-heuristic algorithm that has been …
[HTML][HTML] Binary starling murmuration optimizer algorithm to select effective features from medical data
Feature selection is an NP-hard problem to remove irrelevant and redundant features with
no predictive information to increase the performance of machine learning algorithms. Many …
no predictive information to increase the performance of machine learning algorithms. Many …
A modified oppositional chaotic local search strategy based aquila optimizer to design an effective controller for vehicle cruise control system
In this work, we propose a real proportional-integral-derivative plus second-order derivative
(PIDD2) controller as an efficient controller for vehicle cruise control systems to address the …
(PIDD2) controller as an efficient controller for vehicle cruise control systems to address the …
[HTML][HTML] A chaotic-based interactive autodidactic school algorithm for data clustering problems and its application on COVID-19 disease detection
FS Gharehchopogh, AA Khargoush - Symmetry, 2023 - mdpi.com
In many disciplines, including pattern recognition, data mining, machine learning, image
analysis, and bioinformatics, data clustering is a common analytical tool for data statistics …
analysis, and bioinformatics, data clustering is a common analytical tool for data statistics …
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 …
[HTML][HTML] MMKE: Multi-trial vector-based monkey king evolution algorithm and its applications for engineering optimization problems
Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in
which the single evolution strategy and the control parameter affect the convergence and the …
which the single evolution strategy and the control parameter affect the convergence and the …