Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm
Mathematics, 2022 This paper introduces a novel physical-inspired metaheuristic algorithm called “Light Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the proposed algorithm is the light dispersions with different angles while passing ...
Mohamed Abdel-Basset +3 more
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Enhanced Grey Wolf Optimizer Based MPPT Algorithm of PV System Under Partial Shaded Condition [PDF]
, 2017 Partial shading condition is one of the adverse phenomena which effects the power output of photovoltaic (PV) systems due to inaccurate tracking of global maximum power point.
Cherukuri, S. K. (Santhan) +1 more
core +1 more source
Experienced grey wolf optimizer through reinforcement learning and neural networks [PDF]
, 2017 In this paper, a variant of Grey Wolf Optimizer (GWO) that uses reinforcement learning principles combined with neural networks to enhance the performance is proposed.
Emary, E, Grosan, C, Zawbaa, HM
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GWO-based estimation of input-output parameters of thermal power plants [PDF]
, 2020 The fuel cost curve of thermal generators was very important in the calculation of economic dispatch and optimal power flow. Temperature and aging could make changes to fuel cost curve so curve estimation need to be done periodically. The accuracy of the
Ari Nrartha, I Made +2 more
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Grey Wolf Cuckoo Search Algorithm for Training Feedforward Neural Network and Logic Gates Design [PDF]
, 2023 This paper presents a new hybrid Swarm Intelligence (SI) algorithm based on the Cuckoo Search Algorithm (CSA) and Grey Wolf Optimizer (GWO) called the Grey Wolf Cuckoo Search (GWCS) algorithm. The GWCS algorithm extracts and combines CSA and GWO features
Layak Ali, et al.
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Improved Grey Wolf Optimization Algorithm and Application
Sensors, 2022 This paper proposed an improved Grey Wolf Optimizer (GWO) to resolve the problem of instability and convergence accuracy when GWO is used as a meta-heuristic algorithm with strong optimal search capability in the path planning for mobile robots. We improved chaotic tent mapping to initialize the wolves to enhance the global search ability and used a ...
Yuxiang Hou +3 more
openaire +3 more sources
Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework [PDF]
, 2018 Simplicity and flexibility of meta-heuristic optimization algorithms have attracted lots of attention in the field of optimization. Different optimization methods, however, hold algorithm-specific strengths and limitations, and selecting the best ...
AghaKouchak, A +7 more
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Fractional Order PID Design for a Proton Exchange Membrane Fuel Cell System Using an Extended Grey Wolf Optimizer [PDF]
, 2022 This paper presents a comparison of optimizers for tuning a fractional-order proportional-integral-derivative (FOPID) and proportional-integral-derivative (PID) controllers, which were applied to a DC/DC boost converter.
Barambones Caramazana, Oscar +4 more
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A novel hybrid GWO-SCA approach for optimization problems
Engineering Science and Technology, an International Journal, 2017 Recent trend of research is to hybridize two and several number of variants to find out better quality of solution of practical and recent real applications in the field of global optimization problems.
N. Singh, S.B. Singh
doaj +1 more source
Jurnal Nasional Teknik Elektro, 2017 Optimal reactive power dispatch has a purpose to achieve secure and economic operation of power system by regulating reactive power allocation in electric power system, such as regulating generators voltage, capacity of shunt capacitors and tap position
Osea Zebua, I Made Ginarsa
doaj +1 more source