Improved Osprey Optimization Algorithm with Multi-Strategy Fusion [PDF]
BiomimeticsThe osprey optimization algorithm (OOA) is an effective metaheuristic algorithm. Although the OOA has the characteristics of strong optimality-seeking ability and fast convergence speed, it also has the disadvantages of imbalance between global ...
Wenli Lei, Jinping Han, Xinghao Wu
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Improved Osprey Optimization Algorithm Based on Two-Color Complementary Mechanism for Global Optimization and Engineering Problems [PDF]
BiomimeticsAiming at the problem that the Osprey Optimization Algorithm (OOA) does not have high optimization accuracy and is prone to falling into local optimum, an Improved Osprey Optimization Algorithm Based on a Two-Color Complementary Mechanism for Global ...
Fengtao Wei, Xin Shi, Yue Feng
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Enhanced Osprey Optimization Algorithm for Global Optimization with Application to PEM Fuel Cell Parameter Identification [PDF]
BiomimeticsBio-inspired metaheuristic algorithms, which emulate natural predatory and evolutionary behaviors, play a crucial role in solving complex engineering problems, such as the accurate parameter extraction of proton exchange membrane fuel cells (PEMFCs ...
Yacine Bouali, Basem Alamri
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A black-winged kite optimization algorithm enhanced by osprey optimization and vertical and horizontal crossover improvement [PDF]
Scientific ReportsThis paper addresses issues of inadequate accuracy and inconsistency between global search efficacy and local development capability in the black-winged kite algorithm for practical problem-solving by proposing a black-winged kite optimization algorithm ...
Yancang Li +3 more
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Research on Reactive Power Optimization Based on Hybrid Osprey Optimization Algorithm
Energies, 2023 This paper presents an improved osprey optimization algorithm (IOOA) to solve the problems of slow convergence and local optimality. First, the osprey population is initialized based on the Sobol sequence to increase the initial population’s diversity ...
Yi Zhang, Pengtao Liu
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A novel optimized fuzzy neural network for enhanced topology control in k-connected mobile adhoc networks [PDF]
Scientific ReportsMobile Ad hoc Networks are self-organizing networks, dynamic in nature and consist of mobile nodes independent of the infrastructure. However, they are susceptible to the topology changes, communication link variations and node failures which make them ...
Shyam Sundar Agrawal +2 more
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Improved gated recurrent unit-based osteosarcoma prediction on histology images: a meta-heuristic-oriented optimization concept [PDF]
Scientific ReportsThe major prevalent primary bone cancer is osteosarcoma. Preoperative chemotherapy is accompanied by resection as part of the normal course of treatment. The diagnosis and treatment of patients are based on the chemotherapy reaction.
S. Prabakaran, S. Mary Praveena
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Optimized deep learning ensemble using Fast Osprey algorithm for accurate lymphoblastic leukemia detection [PDF]
Frontiers in MedicineIntroductionAcute Lymphoblastic Leukemia (ALL) is a hematological malignancy, which is life-threatening and demands rapid and precise diagnosis to either enhance or worsen the survival chances.
Narinder Kaur +7 more
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Research on a 2D TERCOM Method Based on an Improved Osprey Optimization Algorithm
AerospaceTo address the challenges of time-dependent error divergence in Strapdown Inertial Navigation Systems (SINS) and the insufficient accuracy of traditional terrain matching algorithms in feature-sparse flat terrain environments, this paper proposes an ...
Tao Sui +4 more
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Driver identification in advanced transportation systems using osprey and salp swarm optimized random forest model [PDF]
Scientific ReportsEnhancement of security, personalization, and safety in advanced transportation systems depends on driver identification. In this context, this work suggests a new method to find drivers by means of a Random Forest model optimized using the osprey ...
Akshat Gaurav +5 more
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