Speakers - El-Ghazali Talbi


El-Ghazali Talbi
University Lille 1
Title: Combining metaheuristics with mathematical programming and data mining

Abstract: During the last years, interest on hybrid metaheuristics has risen considerably in the field of optimization and machine learning. The best results found for many optimization problems in science and industry are obtained by hybrid optimization algorithms. Combinations of optimization tools such as metaheuristics, mathematical programming, constraint programming and machine learning, have provided very efficient optimization algorithms. Four different types of combinations are considered in this paper: (i) Combining metaheuristics with complementary metaheuristics. (ii) Combining metaheuristics with exact methods from mathematical programming approaches which are mostly used in the operations research community. (iii) Combining metaheuristics with constraint programming approaches developed in the artificial intelligence community. (iv) Combining metaheuristics with machine learning and data mining techniques.

Bio: El-Ghazali Talbi received the Master and Ph.D. degrees in Computer Science from the Institut National Polytechnique de Grenoble in France. He is a full Professor in Computer Science at the University of Lille (France) and head of the DOLPHIN team dealing with robust multi-objective optimization of complex systems (INRIA, CNRS, University of Lille). His current research interests are in the fields of metaheuristics, multi-objective combinatorial optimization, parallel and cloud computing, hybrid and cooperative optimization, and application to logistics/transportation, cloud computing, energy and biomedical. He is the founder of the conference META (International conference on metaheuristics and nature inspired computing) and co-founder of the META group (GDR RO, GDR MACS, ROADEF). Professor E-G. Talbi has to his credit more than 150 international publications and 5 books. His h-index is 43 (