Sebastian Ventura Soto

Cordoba UniversityUnited States of America

Sebastian Ventura was born in Cordoba (Spain) in 1966. He received the B.Sc. and Ph.D. degrees in sciences from the University of Cordoba in 1989 and 1996, respectively. He is currently an Associate Professor in the Department of Computer Science and Numerical Analysis, University of Cordoba, where he is the Head of the Knowledge Discovery and Intelligent Systems Research Laboratory. He has authored or coauthored more than 150 international publications. He has also edited several special issues in scientific journals and two scientific books in the field of educational data mining. He has also worked on eleven research projects (being the Coordinator of two of them) that were supported by the Spanish and Andalusian governments and the European Union. His research interests include soft computing (mostly evolutionary computing and genetic programming), machine learning, data mining, and its applications.

2books edited

Latest work with IntechOpen by Sebastian Ventura Soto

Genetic programming (GP) is a branch of Evolutionary Computing that aims the automatic discovery of programs to solve a given problem. Since its appearance, in the earliest nineties, GP has become one of the most promising paradigms for solving problems in the artificial intelligence field, producing a number of human-competitive results and even patentable new inventions. And, as other areas in Computer Science, GP continues evolving quickly, with new ideas, techniques and applications being constantly proposed. The purpose of this book is to show recent advances in the field of GP, both the development of new theoretical approaches and the emergence of applications that have successfully solved different real world problems. The volume is primarily aimed at postgraduates, researchers and academics, although it is hoped that it may be useful to undergraduates who wish to learn about the leading techniques in GP.

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