Machine learning for metaheuristics - state of the art and perspectives
Professor El-Ghazali TALBI
Head of the optimization team of the Computer Science laboratory
University of Lille
During the last years, interest on hybrid metaheuristics has risen considerably in the field of optimization. The best results found for many optimization problems in science and industry are obtained by combining optimization and machine learning. Combinations of optimization tools such as metaheuristics, and machine learning, have provided very efficient optimization algorithms. In this talk we will present a state of the art of such combinations and give some research directions.
Prof. El-ghazali Talbi received the Master and Ph.D degrees in Computer Science, both from the Institut National Polytechnique de Grenoble in France. Then he became an Associate Professor in Computer Sciences at the University of Lille (France). Since 2001, he is a full Professor at the University of Lille and the head of the optimization team of the Computer Science laboratory (LIFL, CRISTAL). His current research interests are in the field of multi-objective optimization, parallel algorithms, metaheuristics, combinatorial optimization, cluster and grid computing, hybrid and cooperative optimization, and application to logistics/transportation and bio-medical.
Professor Talbi has to his credit more than 150 publications in journals, chapters in books, and conferences. He is the co-editor of 5 books. He was a guest editor of more than 15 special issues in different journals (Journal of Heuristics, Journal of Parallel and Distributed Computing, European Journal of Operational Research, Theoretical Computer Science, Journal of Global Optimization). He is the head of the INRIA Dolphin project and was the director of the bioinformatics platform of the Genopole of Lille. He has many collaborative national, European and international projects.
He is the co-founder and the coordinator of the research group dedicated to Metaheuristics: Theory and Applications (META). He is the founding co-chair of the NIDISC workshop on nature inspired computing (IEEE/ACM IPDPS) ad META (Int. Conf. on Metaheuristics). He served in different capacities on the programs of more than 100 national and international conferences. He is also the organizer of many conferences (e.g. EA'2005, ROADEF'2006, META'2008, IEEE AICCSA'2010, META'2014, MIC'2015).