[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 …
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
Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms
(MHOAs) have gained many attentions from researchers all over the world due to their …
(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
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 …
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 …
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 …
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 …
improve life quality. To explore new methods or modify existing ones is critical to obtain …
Overview on binary optimization using swarm-inspired algorithms
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 …
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
Surgical Instrument Signaling (SIS) is compounded by specific hand gestures used by the
communication between the surgeon and surgical instrumentator. With SIS, the surgeon …
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
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 …
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
The forecasting of monthly seasonal streamflow time series is an important issue for
countries where hydroelectric plants contribute significantly to electric power generation …
countries where hydroelectric plants contribute significantly to electric power generation …