Results 41 to 50 of about 10,782 (162)
Optimizing EMG Classification through Metaheuristic Algorithms
Technologies, 2023 This work proposes a metaheuristic-based approach to hyperparameter selection in a multilayer perceptron to classify EMG signals. The main goal of the study is to improve the performance of the model by optimizing four important hyperparameters: the ...
Marcos Aviles +2 more
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Metaheuristic Algorithms for Optimization: A Brief Review
Engineering ProceedingsIn the area of optimization, metaheuristic algorithms have attracted a lot of interest. For many centuries, human beings have utilized metaheuristic algorithms as a problem-solving approach.
Vinita Tomar, Mamta Bansal, Pooja Singh
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IEEE Access, 2021 The optimal integration of electrical units, such as distributed generation units, power electronic devices, and electric vehicles, is a significant development of smart grids.
Kayode E. Adetunji +3 more
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A study on gender detection using multiple classifiers on voice data
Alexandria Engineering JournalResearchers have frequently used metaheuristic algorithms for various problems due to their success. In data mining studies, feature selection (FS) is an essential preprocessing step for large-scale problems.
Gülnur Yildizdan, Emine Baş
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Journal of King Saud University: Computer and Information Sciences, 2022 RNA structure prediction with pseudoknots is an NP-complete problem, in which an optimal RNA structure with minimum energy is to be computed. In past decades, several methods have been developed to predict RNA structure with pseudoknots.
Md. Shahidul Islam, Md. Rafiqul Islam
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MathematicsThe primary objective of introducing metaheuristic algorithms into traditional systematic logic is to minimize the cost function. However, there is a lack of research on the impact of introducing metaheuristic algorithms on the cost function under ...
Ju Chen +7 more
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Metaheuristics for pharmacometrics
CPT: Pharmacometrics & Systems Pharmacology, 2021 Metaheuristics is a powerful optimization tool that is increasingly used across disciplines to tackle general purpose optimization problems. Nature‐inspired metaheuristic algorithms is a subclass of metaheuristic algorithms and have been shown to be ...
Seongho Kim +4 more
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Havacılık ve Uzay Teknolojileri Dergisi, 2021 Nowadays, the use of metaheuristic optimization algorithms is becoming widespread because of easy applying and be able to provide requirements in the solution of high level complex optimization problems.
Kunter Sercan SEZER, Nevra BAYHAN
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Metaheuristic algorithms for the quadratic assignment problem
2013 IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS), 2013 This paper presents two meta-heuristic algorithms to solve the quadratic assignment problem. The iterated greedy algorithm has two main components, which are destruction and construction procedures. The algorithm starts from an initial solution and then iterates through a main loop, where first a partial candidate solution is obtained by removing a ...
Mehmet Fatih Tasgetiren +3 more
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PLoS ONE, 2021 Metaheuristic optimization algorithms are one of the most effective methods for solving complex engineering problems. However, the performance of a metaheuristic algorithm is related to its exploration ability and exploitation ability.
Jiahao Fan, Ying Li, Tan Wang
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