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Erick Cantu-Paz
trying early retirement
Erick Cantu-Paz is an academic and researcher known for his work in the field of evolutionary computation, particularly in genetic algorithms and estimation of distribution algorithms (EDAs). He has co-authored significant papers, including the development of the Bayesian optimization algorithm (BOA) and has contributed to the understanding of parallel genetic algorithms. His research often focuses on improving the efficiency and effectiveness of these algorithms in solving complex optimization problems.12
Currently, he is also recognized as an aspiring Python programmer, indicating an interest in further developing his programming skills, possibly to enhance his contributions to computational research and algorithm development. His LinkedIn username is cantupaz, where he may share insights and updates related to his professional journey and programming endeavors.
