ALBERTO ARAGON TORRE

ALBERTO ARAGON TORRE is an Associate Professor at the Universidad de Burgos, affiliated with the Faculty of Economic and Business Sciences and the Department of Applied Economics. His research focuses on computational intelligence and quantitative methods for business and economics.

• Education: PhD in Computer Science from Universidad de Burgos (2002) with a thesis on evolutionary methods for neural network learning, supervised by Dr. Joaquín A. Pacheco Bonrostro.

His work combines evolutionary algorithms with neural networks, aiming to enhance training strategies through memetic approaches. He is part of the research group GRINUBUMET and has contributed to metaheuristic optimization in mathematical programming. His publications include collaborative efforts in book chapters and journal articles.

Scientific Awards: No specific awards mentioned in the provided data.

He has supervised PhD students and collaborated with researchers like Natalio Krasnogor and Cristina Delgado, focusing on interdisciplinary applications of computational methods in business contexts.