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Smart pareto-optimized genetic algorithm for energy-efficient clustering and routing in wireless sensor networks. [PDF]
Rajalakshmi M, Ponni Alias Sathya S.
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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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Journal of Cleaner Production, 2021
Abstract This study proposes an improved sailfish optimization algorithm to deal with the problems of high operation cost and large pollution emission in hybrid dynamic economic emission dispatch (HDEED) of the power system. The algorithm also solves the problem of power dispatching difficulty caused by the randomness of wind energy when considering ...
Ming-Lang Tseng, Qiang Shen
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Abstract This study proposes an improved sailfish optimization algorithm to deal with the problems of high operation cost and large pollution emission in hybrid dynamic economic emission dispatch (HDEED) of the power system. The algorithm also solves the problem of power dispatching difficulty caused by the randomness of wind energy when considering ...
Ming-Lang Tseng, Qiang Shen
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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.
Soodeh Shadravan +2 more
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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.
Soodeh Shadravan +2 more
exaly +2 more sources
Measurement: Journal of the International Measurement Confederation, 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 ...
Ossama Mokhiamar
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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 ...
Ossama Mokhiamar
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A parallel chaotic sailfish optimization algorithm for estimation of DOA in wireless sensor array
Physical Communication, 2022Satyasai Jagannath Nanda
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Direction of Arrival Estimation in Automotive Radar with Sailfish Optimization Algorithm
2021 IEEE International Symposium on Smart Electronic Systems (iSES), 2021Satyasai Jagannath Nanda
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SailFish Optimizer Algorithm to Solve the Traveling Salesman Problem
Lecture Notes in Networks and Systems, 2022Cherrat Khaoula +2 more
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2022 4th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI), 2022
Hongwei Chen, Lun Chen
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Hongwei Chen, Lun Chen
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