Conference material: "Scientific service & Internet: proceedings of the 22nd All-Russian Scientific Conference (September 21-25, 2020, online)"
Authors:Ezhov D.V., Kovalenko O.V.
Parallel algorithm to optimize continuous highdimensional functions on the basis of hybridization of the grey wolf optimizer (GWO)
Abstract:
'Grey wolf optimizer' [1] proved to be good on high-dimensional problems [2]. The report discusses the improved accuracy of the 'grey wolf optimizer' option from [2] using Rosenbrock «ravine» functions due to adding an additional role into the grey wolf swarm – movement of a part of grey wolves along the converging spiral, that was borrowed from another bioinspired Yellow Saddle Goatfish behavior optimizer [4].
