Sliding-window metaheuristic optimization-based forecast system for foreign exchange analysis
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-019-03863-1
Abstract: AbstractThe forecasting of exchange rates has become a challenging area of research that has attracted many researchers over recent years. This work presents a sliding-window metaheuristic optimization-based forecast (SMOF) system for one-step ahead forecasting. The… read more here.
Keywords: exchange; system; metaheuristic optimization; sliding window ... See more keywords
Metaheuristic optimization in shielding design for neutrons and gamma rays reducing dose equivalent as much as possible
Sign Up to like & getrecommendations! Published in 2018 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2018.05.038
Abstract: Abstract To obtain the optimum solution of the shielding design fast and accurate, 14 well known metaheuristic algorithms were studied in this study. Following the common practice, the algorithms were compared using several benchmark functions,… read more here.
Keywords: algorithm sce; shielding design; metaheuristic optimization; design ... See more keywords
Optimal calibration of variable biofuel blend dual-injection engines using sparse Bayesian extreme learning machine and metaheuristic optimization
Sign Up to like & getrecommendations! Published in 2017 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2017.06.061
Abstract: Abstract Although many combinations of biofuel blends are available in the market, it is more beneficial to vary the ratio of biofuel blends at different engine operating conditions for optimal engine performance. Dual-injection engines have… read more here.
Keywords: engine; metaheuristic optimization; calibration; injection engines ... See more keywords
Metaheuristic optimization based fault diagnosis strategy for solar photovoltaic systems under non-uniform irradiance
Sign Up to like & getrecommendations! Published in 2018 at "Renewable Energy"
DOI: 10.1016/j.renene.2017.10.053
Abstract: Abstract Solar energy is acquiring large global share in renewable energy sector. Open and short circuited faults in SPV system are major degrading factors for solar power production. In this scenario, proficient fault diagnosis strategies… read more here.
Keywords: diagnosis; power; metaheuristic optimization; fault diagnosis ... See more keywords
Study on deconvolution of alpha-particle spectra using metaheuristic optimization and multivariate analysis
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Instrumentation"
DOI: 10.1088/1748-0221/19/01/p01016
Abstract: To find a global optimal solution and obtain further insight into the parameters of the peak shape fitting function, metaheuristic optimization algorithms, and multivariate analysis techniques are employed to study the deconvolution of alpha-particle spectra.… read more here.
Keywords: metaheuristic optimization; multivariate analysis; shape; optimization ... See more keywords
ODTRA-Based Task Offload Optimization for Industrial Internet of Things: Improving Efficiency and Performance With Digital Twins and Metaheuristic Optimization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3385636
Abstract: The Industrial Internet of Things (IIoT) is the recent innovation that had revolutionized the industries by enabling interconnected devices and systems to exchange intelligent data. However, implementing and operating such IIoT systems have various challenges.… read more here.
Keywords: task; industrial internet; metaheuristic optimization; digital twins ... See more keywords
Optimal Performance of PI Controller for AC Microgrid Based on Metaheuristic Optimization Algorithms
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3546321
Abstract: Microgrids are small power systems with one or most distributed generating units (DGs). Frequency and voltage control are crucial for grid-independent operating. It is a complex problem and essential to provide reliability and stability. Thus,… read more here.
Keywords: microgrid; control; metaheuristic optimization; controller ... See more keywords
Finding complement of inefficient feature clusters obtained by metaheuristic optimization algorithms to detect rock mineral types
Sign Up to like & getrecommendations! Published in 2023 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/01423312231160819
Abstract: Minerals are inorganic substances that formed homogeneously by the combination of chemicals that comprise the Earth’s crust and mines are the commercially valuable natural minerals. Since minerals form as a result of chemical interactions in… read more here.
Keywords: mineral types; metaheuristic optimization; complement inefficient; optimization ... See more keywords
Enhancing accuracy in streamflow prediction under climate change scenarios based on an integrated machine learning–metaheuristic optimization approach
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Water and Climate Change"
DOI: 10.2166/wcc.2025.499
Abstract: In this study, the impact of climate change on streamflow is investigated using the adaptive neuro-fuzzy inference system (ANFIS) model and integrating it with metaheuristic optimization algorithms, including particle swarm optimization (PSO) and genetic algorithm… read more here.
Keywords: change scenarios; metaheuristic optimization; climate; climate change ... See more keywords
Novel Design Methodology for DC-DC Converters Applying Metaheuristic Optimization for Inductance Selection
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10124377
Abstract: Nowadays in modern industrial applications, where the power supply efficiency is more important than the output noise performance, DC-DC converters are widely used in order to fulfill the requirements. Yet, component selection and precise estimation… read more here.
Keywords: inductance selection; methodology; metaheuristic optimization; selection ... See more keywords