Multiclass feature selection with metaheuristic optimization algorithms: a review
Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …
selection is harder to perform since most classifications are binary. The feature selection …
Harris hawks optimization: a comprehensive review of recent variants and applications
Harris hawks optimizer (HHO) has received widespread attention among researchers in
terms of the performance, quality of results, and its acceptable convergence in dealing with …
terms of the performance, quality of results, and its acceptable convergence in dealing with …
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method
The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers.
Most of these cliché methods mimic animals' searching trends and possess a small …
Most of these cliché methods mimic animals' searching trends and possess a small …
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
Y Yang, H Chen, AA Heidari, AH Gandomi - Expert Systems with …, 2021 - Elsevier
A recent set of overused population-based methods have been published in recent years.
Despite their popularity, most of them have uncertain, immature performance, partially done …
Despite their popularity, most of them have uncertain, immature performance, partially done …
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization
H Su, D Zhao, H Elmannai, AA Heidari… - Computers in Biology …, 2022 - Elsevier
COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis
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 …
Boosted binary Harris hawks optimizer and feature selection
Y Zhang, R Liu, X Wang, H Chen, C Li - Engineering with Computers, 2021 - Springer
Feature selection is a required preprocess stage in most of the data mining tasks. This paper
presents an improved Harris hawks optimization (HHO) to find high-quality solutions for …
presents an improved Harris hawks optimization (HHO) to find high-quality solutions for …
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem
R Dong, H Chen, AA Heidari, H Turabieh… - Knowledge-Based …, 2021 - Elsevier
In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to
solve complex optimization problems. However, these algorithms suffer from the …
solve complex optimization problems. However, these algorithms suffer from the …
Orthogonally adapted Harris hawks optimization for parameter estimation of photovoltaic models
S Jiao, G Chong, C Huang, H Hu, M Wang, AA Heidari… - Energy, 2020 - Elsevier
Extracting parameters and constructing high-precision models of photovoltaic modules
through actual current-voltage data is required for simulation, control, and optimization of a …
through actual current-voltage data is required for simulation, control, and optimization of a …
Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns
Harris hawks optimization (HHO) is a newly developed swarm-based algorithm and the most
popular optimizer in the recent year, which mimics the cooperation behavior of Harris hawks …
popular optimizer in the recent year, which mimics the cooperation behavior of Harris hawks …