Review of metaheuristics inspired from the animal kingdom
EN Dragoi, V Dafinescu - Mathematics, 2021 - mdpi.com
The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection
Feature selection, an optimization problem, becomes an important pre-process tool in data
mining, which simultaneously aims at minimizing feature-size and maximizing model …
mining, which simultaneously aims at minimizing feature-size and maximizing model …
An effective feature selection model using hybrid metaheuristic algorithms for iot intrusion detection
The increasing use of Internet of Things (IoT) applications in various aspects of our lives has
created a huge amount of data. IoT applications often require the presence of many …
created a huge amount of data. IoT applications often require the presence of many …
Classification of diabetic retinopathy with feature selection over deep features using nature-inspired wrapper methods
M Canayaz - Applied Soft Computing, 2022 - Elsevier
Diabetic retinopathy (DR) is the most common cause of blindness in middle-aged people. It
shows that an automatic image evaluation system is needed in the diagnosis of this disease …
shows that an automatic image evaluation system is needed in the diagnosis of this disease …
A hybrid binary dwarf mongoose optimization algorithm with simulated annealing for feature selection on high dimensional multi-class datasets
The dwarf mongoose optimization (DMO) algorithm developed in 2022 was applied to solve
continuous mechanical engineering design problems with a considerable balance of the …
continuous mechanical engineering design problems with a considerable balance of the …
Robust design of ANFIS-based blade pitch controller for wind energy conversion systems against wind speed fluctuations
Wind speed fluctuations and load demand variations represent the big challenges against
wind energy conversion systems (WECS). Besides, the inefficient measuring devices and …
wind energy conversion systems (WECS). Besides, the inefficient measuring devices and …
Feature selection problem and metaheuristics: a systematic literature review about its formulation, evaluation and applications
J Barrera-García, F Cisternas-Caneo, B Crawford… - Biomimetics, 2023 - mdpi.com
Feature selection is becoming a relevant problem within the field of machine learning. The
feature selection problem focuses on the selection of the small, necessary, and sufficient …
feature selection problem focuses on the selection of the small, necessary, and sufficient …
Boosting chameleon swarm algorithm with consumption AEO operator for global optimization and feature selection
RR Mostafa, AA Ewees, RM Ghoniem… - Knowledge-Based …, 2022 - Elsevier
Feature selection (FS) plays a crucial role as a pre-processing tool in data mining, especially
for real-world applications in medical fields; it has been utilized exponentially and becomes …
for real-world applications in medical fields; it has been utilized exponentially and becomes …
Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans
Abstract Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause severe ailments in …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause severe ailments in …
Dimensionality reduction approach based on modified hunger games search: case study on Parkinson's disease phonation
Abstract Hunger Games Search (HGS) is a newly developed swarm-based algorithm
inspired by the cooperative behavior of animals and their hunting strategies to find prey …
inspired by the cooperative behavior of animals and their hunting strategies to find prey …