… Grey Wolf Optimization Algorithm has also been chosen for carrying out the simulation work.
The algorithm possesses less no. of control parameter except the fact that the value of a is …

… of GWO called the adaptive grey wolf optimiser (AGWO). … [37] scaled the decay function using
a β-chaotic sequence to … allowed to move independently. This is because the Nelder-Mead …

… often used in optimization algorithms, which is well compatible with population algorithm. …
optimization problems [13]. Akash et al. introduces β-Chaotic map into the Grey Wolf Optimizer …

… , such as the hybridization with the atom search optimization (ASO) algoritlnn[4l, the grey
wolf optimization (GWO) algoritlnn[5l, the whale optimization algoritlnn (WOA)[6] Other methods …

… using grey wolf optimizer (GWO) and whale optimization … 1 and 3, a gray wolf can update
its position based on the … r 1 and r 2 which enable search agents (wolves) to update their …

… A new improved meta-heuristic method, named β-chaotic sequence spotted hyena optimizer,
is proposed to determine the optimal size and location of wind turbines. The proposed …

… , some strategies, including random walk [18] and β-Chaotic map [19], were used to improve
the … multi-objective grey wolf algorithm (MOEGWA) is proposed in this study to optimize the …

… grey wolf optimization for high-dimensional computationally expensive black-box optimization
… + β 2 ) 2 β − 1 2 } 1 β Chaotic search: Chaos is a kind of deterministic random method that …

… Most of the optimization algorithms including PSO optimize each variable independently
and hence can greatly affect the performance when it comes to solving high-dependency …

… The application of a new hybrid algorithm that relies on the Grey Wolf Optimizer and Cuckoo
Search Algorithm is being proposed in this manuscript to extract the parameters of various …