Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2022, Volume and Issue: 392, P. 114616 - 114616

Published: Feb. 12, 2022

Language: Английский

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Flow Direction Algorithm (FDA): A Novel Optimization Approach for Solving Optimization Problems

Computers & Industrial Engineering, Journal Year: 2021, Volume and Issue: 156, P. 107224 - 107224

Published: March 11, 2021

Language: Английский

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Genghis Khan shark optimizer: A novel nature-inspired algorithm for engineering optimization

Advanced Engineering Informatics, Journal Year: 2023, Volume and Issue: 58, P. 102210 - 102210

Published: Oct. 1, 2023

Language: Английский

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Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm

Expert Systems with Applications, Journal Year: 2021, Volume and Issue: 177, P. 114974 - 114974

Published: April 1, 2021

Language: Английский

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An Effective Feature Selection Model Using Hybrid Metaheuristic Algorithms for IoT Intrusion Detection

Sensors, Journal Year: 2022, Volume and Issue: 22(4), P. 1396 - 1396

Published: Feb. 11, 2022

The increasing use of Internet Things (IoT) applications in various aspects our lives has created a huge amount data. IoT often require the presence many technologies such as cloud computing and fog computing, which have led to serious challenges security. As result these technologies, cyberattacks are also on rise because current security methods ineffective. Several artificial intelligence (AI)-based solutions been presented recent years, including intrusion detection systems (IDS). Feature selection (FS) approaches required for development intelligent analytic tools that need data pretreatment machine-learning algorithm-performance enhancement. By reducing number selected features, FS aims improve classification accuracy. This article presents new method through boosting performance Gorilla Troops Optimizer (GTO) based algorithm bird swarms (BSA). BSA is used boost exploitation GTO newly developed GTO-BSA it strong ability find feasible regions with optimal solutions. result, quality final output will increase, improving convergence. GTO-BSA's was evaluated using variety measures four IoT-IDS datasets: NSL-KDD, CICIDS-2017, UNSW-NB15 BoT-IoT. results were compared those original GTO, BSA, several state-of-the-art techniques literature. According findings experiments, had better convergence rate higher-quality

Language: Английский

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Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(4)

Published: March 23, 2024

Abstract This paper innovatively proposes the Black Kite Algorithm (BKA), a meta-heuristic optimization algorithm inspired by migratory and predatory behavior of black kite. The BKA integrates Cauchy mutation strategy Leader to enhance global search capability convergence speed algorithm. novel combination achieves good balance between exploring solutions utilizing local information. Against standard test function sets CEC-2022 CEC-2017, as well other complex functions, attained best performance in 66.7, 72.4 77.8% cases, respectively. effectiveness is validated through detailed analysis statistical comparisons. Moreover, its application solving five practical engineering design problems demonstrates potential addressing constrained challenges real world indicates that it has significant competitive strength comparison with existing techniques. In summary, proven value advantages variety due excellent performance. source code publicly available at https://www.mathworks.com/matlabcentral/fileexchange/161401-black-winged-kite-algorithm-bka .

Language: Английский

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A new random vector functional link integrated with mayfly optimization algorithm for performance prediction of solar photovoltaic thermal collector combined with electrolytic hydrogen production system

Applied Thermal Engineering, Journal Year: 2021, Volume and Issue: 193, P. 117055 - 117055

Published: May 6, 2021

Language: Английский

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Combined Economic Emission Dispatch of Microgrid with the Incorporation of Renewable Energy Sources Using Improved Mayfly Optimization Algorithm

Computational Intelligence and Neuroscience, Journal Year: 2022, Volume and Issue: 2022, P. 1 - 22

Published: April 18, 2022

Electricity can be provided to small-scale communities like commercial areas and villages through microgrid, one of the small-scale, advanced, independent electricity systems out grid. Microgrid is an appropriate choice for specific purposes reducing emission generation cost increasing efficiency, reliability, utilization renewable energy sources. The main objective this paper elucidate combined economic dispatch CEED problem in microgrid attain optimal cost. A optimization approach examined minimize operational levels while satisfying load demand microgrid. With background, authors proposed a novel improved mayfly algorithm incorporating Levy flight resolve encountered microgrids. islanded mode test system considered study comprises thermal power, solar-powered, wind power generating units. simulation results were 24 hours with varying demands. minimization total attained four different scenarios. Optimization obtained all scenarios using IMA give comparatively better reduction than MA other algorithms revealing efficacy taken comparison same data. solve grid-connected

Language: Английский

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Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey

Artificial Intelligence Review, Journal Year: 2022, Volume and Issue: 56(2), P. 865 - 913

Published: April 13, 2022

Language: Английский

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AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets

Computers in Biology and Medicine, Journal Year: 2022, Volume and Issue: 144, P. 105349 - 105349

Published: March 10, 2022

Language: Английский

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