Description: The research focuses on the theoretical analysis and design of efficient resolution techniques for automatic reasoning problems (decision and optimization) and machine learning (supervised, unsupervised and reinforcement), with special emphasis on the resolution of real problems or industrial.
Responsible: Dr. Carlos Ansótegui Gil carlos.ansotegui@udl.cat
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Description: This line of research considers the development (1) of statistical methods for the study and analysis of random phenomena both in space and time such as, for example, traffic accidents or forest fires; (2) operational research methods aimed at improving decision processes such as plant sizing, location of services, line balancing, equipment replacement and maintenance, improvement of the supply chain and logistics, within the agri-food sector and rancher; (3) game theory methods for cases of more than one decision maker that provide criteria for the distribution of profits (or costs) between economic agents in which cooperation between them allows them to achieve a greater benefit (or a reduction in costs).
Responsible: Dr. Lluís M. Pla Aragonés lluismiquel.pla@udl.cat
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