Results 91 to 100 of about 230 (149)
SWARAM: Osprey Optimization Algorithm-Based Energy-Efficient Cluster Head Selection for Wireless Sensor Network-Based Internet of Things. [PDF]
Somula R, Cho Y, Mohanta BK.
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Energy and throughput aware adequate routing for wireless sensor networks using integrated game theory method. [PDF]
Vivek Kumar M, Saraniya O.
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An improved Coati Optimization Algorithm with multiple strategies for engineering design optimization problems. [PDF]
Qi Z +5 more
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Mohammed Furkhan Khan +1 more
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Improved Osprey Optimization Algorithm Based on Two-Color Complementary Mechanism for Global Optimization and Engineering Problems. [PDF]
Wei F, Shi X, Feng Y.
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Sailfish optimizer algorithm (SFO) for optimized clustering in wireless sensor network (WSN)
Journal of Engineering, Design and Technology, 2021Purpose Inspired optimization algorithms respond to numerous scientific and engineering difficulties based on its flexibility and simplicity. Such algorithms are valid for optimization difficulties devoid of structural alterations. Design/methodology/approach This paper presents a nature-inspired optimization algorithm, named Sailfish optimizer (SFO)
Battina Srinuvasu Kumar +2 more
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Optimal STATCOM allocation and sizing using the sailfish optimizer algorithm
2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2020In this paper, a recent optimization algorithm called sailfish optimizer algorithm (SFOA) is introduced to locate the suitable position and rating of a static synchronous compensator (STATCOM) in a 14 bus IEEE interconnected transmission network to improve voltage profile, and minimize the total real power losses (TRPL) of the system by considering ...
Padarbinda Samal, Rakesh Roshan
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Engineering Applications of Artificial Intelligence, 2019
Abstract Nature-inspired optimization algorithms, especially swarm based algorithms (SAs), solve many scientific and engineering problems due to their flexibility and simplicity. These algorithms are applicable for optimization problems without structural modifications.
S. Shadravan, H.R. Naji, V.K. Bardsiri
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Abstract Nature-inspired optimization algorithms, especially swarm based algorithms (SAs), solve many scientific and engineering problems due to their flexibility and simplicity. These algorithms are applicable for optimization problems without structural modifications.
S. Shadravan, H.R. Naji, V.K. Bardsiri
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Measurement, 2021
Abstract Variational mode decomposition (VMD) method is a recently employed signal processing technique for fault identification from the vibration signal of rolling bearings. However, the selection of VMD parameters namely the number of modes (k) and the quadratic penalty factor (α) still represents a challenge to obtain proper decomposition modes ...
M.G.A. Nassef +2 more
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Abstract Variational mode decomposition (VMD) method is a recently employed signal processing technique for fault identification from the vibration signal of rolling bearings. However, the selection of VMD parameters namely the number of modes (k) and the quadratic penalty factor (α) still represents a challenge to obtain proper decomposition modes ...
M.G.A. Nassef +2 more
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