Combinatorial Models for Scheduling Sports Tournaments

lt;p>Celso C. Ribeiro has a bachelor's degree in Electrical Engineering (1976) and a master's in Systems Engineering (1978). His main research areas include Combinatorial Optimization, Algorithm Design, Metaheuristics, and Sports Scheduling. He obtained a doctorate in Computer Science at École Nationale Supérieure des Télécommunications (France, 1983) and the Habilitation (HDR) at Université Paris 13 (France, 1990). Celso Ribeiro chaired the Departments of Electrical Engineering (1983-1987) and Computer Science (1993-1995) of the Catholic University of Rio de Janeiro. He coordinated the graduate program in Computer Science of Universidade Federal Fluminense (2009-2017), Brazil, where he is a Full Professor. Dr. Ribeiro also chaired the Department of Modernization Programs of the Brazilian Ministry of Education (2005-2007) and acted as Subsecretary of Education of the State of Rio de Janeiro (2007-2008), Brazil. He was President of the Brazilian Operations Research Society (SOBRAPO, 1989-1990), President of the Latin-American Association of Operations Research Societies (ALIO, 1992-1994), and Regional Vice-President of the International Federation of Operational Research Societies (IFORS, 1998-2000). He co-authored the books "Combinatorial Models for Scheduling Sports Tournaments" (2023) and "Optimization by GRASP: Greedy Randomized Adaptive Search Procedures" (2016), both published by Springer. He is the editor of four books and the author of more than 160 papers in international journals and 22 book chapters. He holds two US patents and has supervised 32 doctorate dissertations and 39 master theses. He is the General Editor of the journal International Transactions in Operational Research (since 2007) and a member of the editorial board of several journals such as Engineering Applications of Artificial Intelligence, Discrete Optimization, Journal of Heuristics, and RAIRO Operations Research. He was also the Editor-in-Chief of the Journal of the Brazilian Computing Society (2014-2015). Dr. Ribeiro is a member of the Brazilian Academy of Sciences. He was awarded the title of Doctor Honoris Causa by Universidad Nacional de San Agustin de Arequipa (Peru, 2010) and the Medal of the National Order of Scientific Merit (Brazil, 2018).

Sebastián Urrutia obtained a bachelor's degree in Computer Science from the University of Buenos Aires, Argentina, in 2001. His main research area is Combinatorial Optimization, focusing on integer programming, heuristics, and graph theory. He obtained a doctorate in Computer Science at Pontifícia Universidade Católica do Rio de Janeiro, Brazil, in 2005. Sebastian Urrutia was a Professor at the Computer Science Department of the Federal University of Minas Gerais, Brazil, from 2006 to 2019. He is a Full Professor in the Logistics Department of the Molde University College, Norway, since 2019. He is the author of more than 35 papers in international journals and three book chapters and has supervised four doctorate dissertations.

Dominique de Werra is an Emeritus Professor of Operations Research at EPFL (Ecole Polytechnique Fédérale de Lausanne) in Switzerland. His research fields include Combinatorial Optimization, Graph Theory, Scheduling, and Timetabling. After spending a few years as an assistant professor in Management Sciences at the University of Waterloo (Canada), he joined the Mathematics Department of EPFL. He is an associate editor of Discrete Applied Mathematics, Discrete Mathematics, Annals of Operations Research, and a member of several editorial boards of other international journals. He was President of IFORS (the International Federation of Operational Research Societies) from 2010 to 2012. From 1987-1988 he was President of EURO, the European Association of Operational Research Societies. From 1985-1986 he was President of ASRO, the Swiss Operations Research Society. In 1995 he was the laureate of the EURO

Leagues, tournaments, and schedules.-  Combinatorial structures.- Metaheuristics and local search.- Integer programming approaches.- Case studies.