• М. Ю. Сокольницький КПІ ім. Ігоря Сікорського, Україна

Ключові слова:

evolutionary optimization, Pleurotus cultivation, substrate parameters, biomass yield, CMA-ES


This study investigates the application of such algorithms to optimize substrate parameters, treating them as black-box functions affecting fungal growth. By mimicking natural selection processes, evolutionary strategies enhance the search for optimal substrate conditions, surpassing traditional methods like regression analysis or exhaustive search. The research aims to assess the feasibility of evolutionary optimization strategies in biotechnological applications.


A Novel Optimization Approach Based On Unstructured Evolutionary Game Theory / H. Escobar-Cuevas et al. Mathematics and Computers in Simulation. 2023. URL: https://doi.org/10.1016/j.matcom.2023.12.027.

Investigation of the Use of Evolutionary Algorithms for Modeling and Simulation of Bifacial Photovoltaic Modules / G. H. Grala et al. Inventions. 2023. Vol. 8, no. 6. P. 134. URL: https://doi.org/10.3390/inventions8060134.

Linear and nonlinear causality between signals: methods, examples and neurophysiological applications Boris Gourévitch · Régine Le Bouquin-Jeannès · Gérard Faucon Received: 30 September 2005 / Accepted: 17 July 2006 / Published online: 23 August 2006 © Springer-Verlag 2006, P. 350

Simon D. Evolutionary optimization algorithms: biologically-Inspired and population-based approaches to computer intelligence. 2013. 776 p.

Hansen N. The CMA evolution strategy: A tutorial. 2016. P. 1–39. URL: https://arxiv.org/abs/1604.00772.

Optimization of the Nutrient Medium for Flammulina velutipes Submerged Biomass Production and Micromorphology of Its Mycelium / L. Krasnopolskaya et al. Fermentation. 2021. Vol. 7, no. 3. P. 180. URL: https://doi.org/10.3390/fermentation7030180.

Boiko S., Netsvetov M., Radchenko V. Cellulose biosaccharification by Irpex lacteus wood decay fungus. Maderas. Ciencia y tecnología. 2023. Vol. 25. URL: https://doi.org/10.4067/s0718-221x2023000100435.

Validation of mathematical models as a tool for prediction of α-amylase production by Coprinus comatus in a low-cost culture medium / L. C. Paludo та ін. Acta Scientiarum. Technology. 2023. Т. 45. С. e63415. URL: https://doi.org/10.4025/actascitechnol.v45i1.63415.