2021
DOI: 10.1002/er.6728
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A MPPT based on optimized FLC using manta ray foraging optimization algorithm for thermo‐electric generation systems

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Cited by 24 publications
(15 citation statements)
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“…Manta ray foraging optimization (MRFO) is a new swarm intelligence optimization algorithm proposed in 2020. With excellent searchability, fewer parameters, simple model and easily understood, it is better than particle swarm optimization (PSO) [ 11 , 12 ], genetic algorithm (GA) [ 13 , 14 ], Differential Evolution (DE) [ 15 , 16 ], Cuckoo Search (CS) [ 17 ], gravitational search algorithm (GSA) [ 18 ], and ABC [ 19 ] in some function optimization [ 20 ], and it has been successfully applied to solar energy [ 21 , 22 ], ECG [ 23 ], generator [ 24 , 25 ], power system [ 26 ], cogeneration energy system [ 27 ], geophysical inversion problem [ 28 ], directional overcurrent relay [ 29 ], feature selection [ 30 ], hybrid energy system [ 31 ], and sewage treatment [ 32 ]. Although MRFO has good optimization ability, it still has its own defects.…”
Section: Introductionmentioning
confidence: 99%
“…Manta ray foraging optimization (MRFO) is a new swarm intelligence optimization algorithm proposed in 2020. With excellent searchability, fewer parameters, simple model and easily understood, it is better than particle swarm optimization (PSO) [ 11 , 12 ], genetic algorithm (GA) [ 13 , 14 ], Differential Evolution (DE) [ 15 , 16 ], Cuckoo Search (CS) [ 17 ], gravitational search algorithm (GSA) [ 18 ], and ABC [ 19 ] in some function optimization [ 20 ], and it has been successfully applied to solar energy [ 21 , 22 ], ECG [ 23 ], generator [ 24 , 25 ], power system [ 26 ], cogeneration energy system [ 27 ], geophysical inversion problem [ 28 ], directional overcurrent relay [ 29 ], feature selection [ 30 ], hybrid energy system [ 31 ], and sewage treatment [ 32 ]. Although MRFO has good optimization ability, it still has its own defects.…”
Section: Introductionmentioning
confidence: 99%
“…An optimized type-1 FL-based tracker for thermoelectric generation application has been proposed by Aly and Rezk. 19 The optimal parameters of type-1 FL have been determined by manta ray foraging optimization. A new MPPT method for TEGs based on power differentials has been proposed by Yahya and Alomari.…”
Section: Introductionmentioning
confidence: 99%
“…The main results showed the efficiency of that MPPT to maximize the energy harvesting of the TEGS. An optimized type‐1 FL‐based tracker for thermoelectric generation application has been proposed by Aly and Rezk 19 . The optimal parameters of type‐1 FL have been determined by manta ray foraging optimization.…”
Section: Introductionmentioning
confidence: 99%
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“…In this study, a stochastic algorithm, namely Barnacle Mating Optimization algorithm (BMO), is suggested as a means to finding the global maximum power point of a thermos electric generator. The control is achieved by varying the duty cycle of the boost converter according to the results of the BMO algorithm [38]. The main features of BMO are listed below:…”
Section: Introductionmentioning
confidence: 99%