Grey Wolf Optimizer and Discrete Chaotic Map for Substitution Boxes Design and Optimization
IEEE Access, 2023 A metaheuristic approach based on the nature-inspired and well-known Grey Wolf Optimization algorithm (GWO) was employed in this study to design an approach for retrieving strong designs of $8\times 8$ substitution boxes (S-boxes).
Ali Ibrahim Lawah +4 more
semanticscholar +1 more source
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
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
core +3 more sources
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
core +1 more source
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
Inventions, 2023 Photovoltaic (PV) systems play a crucial role in clean energy systems. Effective maximum power point tracking (MPPT) techniques are essential to optimize their performance.
Mohammed Yousri Silaa +3 more
semanticscholar +1 more source
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
core +1 more source
Rekonfigurasi Jaringan Distribusi Untuk Meminimalisasi Rugi-Rugi Daya Dengan Menggunakan Metode Grey Wolf Optimizer (GWO) [PDF]
, 2022 Rekonfigurasi jaringan pada jaringan distribusi merupakan suatu proses atau usaha untuk mengubah status sakelar pada saluran yang terhubung (sectionalizing switch) dan yang tidak terhubung (tie switch) dengan tujuan untuk meminimalisasi rugi-rugi daya ...
M. Harbi Rai Pangestu
core +2 more sources
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
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
core +1 more source