[HTML][HTML] Continuous metaheuristics for binary optimization problems: An updated systematic literature review

M Becerra-Rozas, J Lemus-Romani… - Mathematics, 2022 - mdpi.com
For years, extensive research has been in the binarization of continuous metaheuristics for
solving binary-domain combinatorial problems. This paper is a continuation of a previous …

Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems

CCW Chang, TJ Ding, CCW Ee, W Han… - … Methods in Engineering, 2024 - Springer
Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms
(MHOAs) have gained many attentions from researchers all over the world due to their …

Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm

KTT Bui, JF Torres, D Gutiérrez‐Avilés… - … ‐Aided Civil and …, 2022 - Wiley Online Library
The safety operation and management of hydropower dam play a critical role in social‐
economic development and ensure people's safety in many countries; therefore, modeling …

[HTML][HTML] Deep learning fuzzy immersion and invariance control for type-I diabetes

AH Mosavi, A Mohammadzadeh, S Rathinasamy… - Computers in Biology …, 2022 - Elsevier
In this study, a novel approach is proposed for glucose regulation in type-I diabetes patients.
Unlike most studies, the glucose–insulin metabolism is considered to be uncertain. A new …

[HTML][HTML] An energy-saving and efficient deployment strategy for heterogeneous wireless sensor networks based on improved seagull optimization algorithm

L Cao, Z Wang, Z Wang, X Wang, Y Yue - Biomimetics, 2023 - mdpi.com
The Internet of Things technology provides convenience for data acquisition in
environmental monitoring and environmental protection and can also avoid invasive …

Air pollution epidemiology: A simplified Generalized Linear Model approach optimized by bio-inspired metaheuristics

JT Belotti, DS Castanho, LN Araujo, LV da Silva… - Environmental …, 2020 - Elsevier
Studies in air pollution epidemiology are of paramount importance in diagnosing and
improve life quality. To explore new methods or modify existing ones is critical to obtain …

Overview on binary optimization using swarm-inspired algorithms

M Macedo, H Siqueira, E Figueiredo, C Santana… - IEEE …, 2021 - ieeexplore.ieee.org
Swarm Intelligence is applied to optimisation problems due to its robustness, scalability,
generality, and flexibility. Based on simple rules, simple reactive agents-swarm (eg fish, bird …

[HTML][HTML] Surgical Instrument Signaling Gesture Recognition Using Surface Electromyography Signals

MLB Freitas, JJA Mendes Jr, TS Dias, HV Siqueira… - Sensors, 2023 - mdpi.com
Surgical Instrument Signaling (SIS) is compounded by specific hand gestures used by the
communication between the surgeon and surgical instrumentator. With SIS, the surgeon …

New adaptive robust H∞ control of smart structures using synchrosqueezed wavelet transform and recursive least-squares algorithm

Z Li, H Adeli - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Two kinds of uncertainties, one due to the dynamic earthquake loads with a wide frequency
band and the other due to structural parameters exist in large and complex real-life …

[HTML][HTML] Selection of temporal lags for predicting riverflow series from hydroelectric plants using variable selection methods

H Siqueira, M Macedo, YS Tadano, TA Alves… - Energies, 2020 - mdpi.com
The forecasting of monthly seasonal streamflow time series is an important issue for
countries where hydroelectric plants contribute significantly to electric power generation …