Classification of Fungal Pigments by Simulating Their Optical Properties Using Evolutionary Optimization

Classification of Fungal Pigments by Simulating Their Optical Properties Using Evolutionary Optimization

Modern developments in data analysis techniques and evolutionary optimization algorithms have made it possible to analyze large amounts of unstructured digital data sets. Based on the differential evolution algorithm and semiclassical quantum simulations, we have recently proposed a method for class...

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Bibliographic Details
Main Authors: Roman Y. Pishchalnikov, Denis D. Chesalin, Vasiliy A. Kurkov, Andrei P. Razjivin, Sergey V. Gudkov, Andrey A. Grishin, Alexey S. Dorokhov, Andrey Yu. Izmailov
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
Subjects:
absorption
neurosporaxanthin
neurosporene
torulene
γ-carotene
ζ-carotene
Online Access:https://www.mdpi.com/2227-7390/12/23/3844
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