Slime mould algorithm: A comprehensive survey of its variants and applications
Meta-heuristic algorithms have a high position among academic researchers in various
fields, such as science and engineering, in solving optimization problems. These algorithms …
fields, such as science and engineering, in solving optimization problems. These algorithms …
Bio-inspired feature selection algorithms with their applications: a systematic literature review
Based on the principles of the biological evolution of nature, bio-inspired algorithms are
gaining popularity in developing robust techniques for optimization. Unlike gradient descent …
gaining popularity in developing robust techniques for optimization. Unlike gradient descent …
[HTML][HTML] Water temperature prediction using improved deep learning methods through reptile search algorithm and weighted mean of vectors optimizer
Precise estimation of water temperature plays a key role in environmental impact
assessment, aquatic ecosystems' management and water resources planning and …
assessment, aquatic ecosystems' management and water resources planning and …
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 …
An improved reptile search algorithm with ghost opposition-based learning for global optimization problems
In 2021, a meta-heuristic algorithm, Reptile Search Algorithm (RSA), was proposed. RSA
mainly simulates the cooperative predatory behavior of crocodiles. Although RSA has a fast …
mainly simulates the cooperative predatory behavior of crocodiles. Although RSA has a fast …
Reptile search algorithm: Theory, variants, applications, and performance evaluation
Abstract Reptile Search Algorithm (RSA) is a recently developed nature-inspired meta-
heuristics optimization algorithm inspired by the encircling mechanism, hunting mechanism …
heuristics optimization algorithm inspired by the encircling mechanism, hunting mechanism …
A binary reptile search algorithm based on transfer functions with a new stochastic repair method for 0–1 knapsack problems
Abstract The Reptile Search Algorithm (RSA), inspired by crocodiles' hunting behavior, is a
recently introduced nature-inspired algorithm. Although the original version of the RSA …
recently introduced nature-inspired algorithm. Although the original version of the RSA …
[HTML][HTML] Novel statistical time series data augmentation and machine learning based classification of unobtrusive respiration data for respiration Digital Twin model
Digital Twin (DT), a concept of Healthcare (4.0), represents the subject's biological
properties and characteristics in a digital model. DT can help in monitoring respiratory …
properties and characteristics in a digital model. DT can help in monitoring respiratory …
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 …
MLBRSA: Multi-learning-based reptile search algorithm for global optimization and software requirement prioritization problems
JK Kailasam, R Nalliah… - Biomimetics, 2023 - mdpi.com
In the realm of computational problem-solving, the search for efficient algorithms tailored for
real-world engineering challenges and software requirement prioritization is relentless. This …
real-world engineering challenges and software requirement prioritization is relentless. This …