Interest in Multi-Objective Optimization (MOP) has been notably increasing since Multi-Objective Optimization Evolutionary Algorithms (MOEAs) proved their ability to solve optimization problems with several conflicting objective functions, even when many objective functions are simultaneously considered. This talk will mathematically present a general MOP as well as different alternatives and algorithms to solve a MOP, analyzing its application to several different areas of science, engineering, economy, industry and even social areas. Practical examples will illustrate the main concepts, summarizing the start of the art.
PhD in Systems and Computer Engineering (Federal University of Rio de Janeiro – Brazil, 1993), Master in Electrical Engineering (Northeastern University, Boston – United States, 1987), Electronic Engineer (Asunción National University, Paraguay – 1983), with a widely scientific and academic experience at several universities in three continents, he has published more than a hundred scientific articles, having been awarded a dozen awards and recognitions as: The Honor of Merit Latin American Computer Science in 2013, The Panamerican Prize in Scientific Computing in 2012, The National Prize of Sciences of Paraguay – 1996, The Andrés Barbero – 1982 Prize of the Scientific Society of Paraguay, and moreover, he received a Doctorate Honoris Causa by the National University of the East in 2012. He is a member of the Honorary Scientific Commission (category III) of the National Program of Incentive to Researchers – PRONII of CONACYT. For more than two decades he has served as president of the consultancy Barán y Asociados – CBA, leading large projects in computing and communications from both the public and the private sector, including consulting works for agencies Internationals such as ITU, UNESCO, UNDP, OAS, World Bank and IDB. His main research areas are: cloud computing, multi objective optimization problems, bio-inspired algorithms, communications networks, applications to engineering and quantum computing.