Results 141 to 150 of about 654 (182)
An improved MobileNet based on a modified poor and rich optimization algorithm for lithium-ion battery state-of-health estimation. [PDF]
Sci RepHajlaoui R +3 more
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SYMPHONY: Synergistic Hierarchical Metric-Fusion and Predictive Hybrid Optimization for Network Yield-A VANET Routing Protocol. [PDF]
Sensors (Basel)Kazi AK, Imran M, Asif R, Hina S.
europepmc +1 more source
Seagull optimization algorithm for solving real-world design optimization problems
Materialpruefung/Materials Testing, 2020 Abstract In this research paper, a new surrogate-assisted metaheuristic for shape optimization is proposed. A seagull optimization algorithm (SOA) is used to solve the shape optimization of a vehicle bracket. The design problem is to find structural shape while minimizing structural mass and meeting a stress constraint.
Natee Panagant +2 more
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EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization
International Journal of Machine Learning and Cybernetics, 2020 This study introduces the evolutionary multi-objective version of seagull optimization algorithm (SOA), entitled Evolutionary Multi-objective Seagull Optimization Algorithm (EMoSOA). In this algorithm, a dynamic archive concept, grid mechanism, leader selection, and genetic operators are employed with the capability to cache the solutions from the non ...
Gaurav Dhiman +2 more
exaly +4 more sources
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An enhanced seagull optimization algorithm for solving engineering optimization problems
Applied Intelligence, 2022Yanhui Che, He Dengxu
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Processes, 2021 The numerical solution of the dynamic optimization problem is often sought for chemical processes, but the discretization of control variables is a difficult problem.
Le Xu, Yuanbin Mo, Yanyue Lu
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Biomedical Signal Processing and Control
Early diagnosis of oral cancer is crucial for improving patient outcomes and saving lives. However, inaccurate and improper diagnosis can hinder effective treatment. This paper presents a novel method for detecting oral cancer using an optimized version of Convolutional Neural Network (CNN).
Qirui Huang
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Early diagnosis of oral cancer is crucial for improving patient outcomes and saving lives. However, inaccurate and improper diagnosis can hinder effective treatment. This paper presents a novel method for detecting oral cancer using an optimized version of Convolutional Neural Network (CNN).
Qirui Huang
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Seagull-Cuckoo Search Algorithm for Function Optimization
2021 6th International Conference for Convergence in Technology (I2CT), 2021This paper anticipates to frame a hybrid Seagull Optimization Algorithm - Cuckoo Search (SOA-CS) algorithm for objective function minimization. The migration and attacking strategies of Seagulls are complimented by the social breeding behaviour of cuckoo birds. In addition, the thought of Levy flight walking methodology is also inherited.
Gyanesh Das, Rutuparna Panda
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A hybrid seagull optimization algorithm for chemical descriptors classification
2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), 2021Cheminformatics is a field of research that explores the correlation between chemical compound data sets and the metrics used in drug design to evaluate the similarity. Many classical-methods are applie-d in prediction the drug design that aren’t efficient and not effective.
Essam H. Houssein +2 more
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