José L. Verdegay

José L. Verdegay received the MS degree in mathematics and the PhD degree in sciences from the University of Granada, Granada, Spain, in 1975 and 1981, respectively. He is a full Professor at Department of Computer Science and Artificial Intelligence (DECSAI),University of Granada, Spain, Director of the Models of Decision and Optimization (MODO) Research Group, Coordinator of the Master on Soft Computing between University of Granada and Universidad Central Marta Abreu de las Villas (Cuba)” and Delegate of the Rector for ICT in University of Granada. He has published eleven books and more than 250 scientific and technical papers in leading scientific journals, and has been Advisor of 13 PhD dissertations. He has served on many international program committees and has attended numerous national and international conferences, congresses, and workshops. He has been Principal Researcher in a variety of national and international research and educational projects. He has much experience in the evaluation of the quality of academic institutions. He has been member and President of a number of committees with the European Training Foundation and the Spanish Ministry of Education. He also is a member of the Editorial Board of several international leading journals. He has been Chairman of DECSAI (1990–1994), President of the Spanish Association for Fuzzy Logic and Technologies (1990–1996), Advisor for Intelligent Technologies of the Spanish Science Inter- Ministry Commission (1995–1996), and Director of International Affairs at the University of Granada (1996–2000). His current scientific interests are Soft Computing, fuzzy sets and systems, decision support systems, metaheuristic algorithms, nature inspired systems, and bioinformatics.


Exploring Innovative and Successful Applications of Soft Computing
Antonio D. Masegosa, Pablo J. Villacorta, Carlos Cruz-Corona, M. Socorro García-Cascales, María T. Lamata, José L. Verdegay. © 2014. 375 pages.
The evolution of soft computing applications has offered a multitude of methodologies and techniques that are useful in facilitating new ways to address practical and real...
A Soft Computing-Based Idea Applied to the Truck and Trailer Routing Problem
Isis Torres Pérez, Alejandro Rosete Suárez, Carlos Cruz-Corona, José L. Verdegay. © 2014. 15 pages.
Techniques based on Soft Computing are useful to model and solve real-world problems where decision makers use subjective knowledge or linguistic information when making...
Different Approaches for Cooperation with Metaheuristics
José M. Cadenas, Ma Carmen Garrido, Enrique Muñoz, Carlos Cruz-Corona, David A. Pelta, José L. Verdegay. © 2009. 8 pages.
Working on artificial intelligence, one of the tasks we can carry on is optimization of the possible solutions of a problem. Optimization problems appear. In optimization...