Gerardo Beruvides
Technical University of Madrid
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Gerardo Beruvides is postdoctoral researcher for the Technical University of Madrid (UPM), Madrid, Spain. He has received his PhD in Informatics and Telecommunications from the Autonomous University of Madrid, Spain, in 2017. His research areas are artificial intelligence modelling, multi-objective optimization problems, reinforcement machine learning and cognitive science based on process knowledge to provide self-adaptive and own decision making capabilities to machines, manufacturing processes and industrial connected scenarios without human in the loop. Finally, he has published several papers, covering from new algorithms development to real case study on industrial applications.
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Submitted
Simple Multi-Objective Cross Entropy Method
Single and Multiple Objective Cross Entropy (SMOCE) optimization toolbox
8 years ago | 3 downloads |
