Genetic Fuzzy and Neuro Evolution: Complexity Analysis

MSU paper analyzing complexity of genetic algorithms used to train Expert Systems (fuzzy logic) and Neural Networks (NEAT).

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Author: Tom Pawelek

CTO in charge of a tech/devops stack in a highly regulated financial environment. Overseeing the design & development of GenAI automation in a mixed cloud/onprem environment. PhD research of hybrid LLM & Game Theory models @ MSU

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