Carlos Artemio Coello Coello
Departamento de Computación
Evolutionary Multi-Objective Optimization using Hybrid Approaches
The use of evolutionary algorithms for solving multi-objective optimization problems has become increasingly popular, mainly within the last 15 years. From among the several research trends that have originated in recent years, one of the most promising is the use of hybrid approaches that allow to improve the performance of multi-objective evolutionary algorithms (MOEAs).
In this talk, some of the most representative research on the use of hybrid approaches in evolutionary multi-objective optimization will be discussed. The topics discussed will include multi-objective memetic algorithms, hybridization of MOEAs with gradient-based methods and with direct search methods, as well as multi-objective hyperheuristics.
Some applications of these approaches as well as some potential paths for future research in this area will also be briefly discussed.
Carlos Artemio Coello Coello received a PhD in Computer Science from Tulane University (USA) in 1996. He is currently full professor with distinction at CINVESTAV-IPN in Mexico City, Mexico.
He has published over 450 papers in international peer-reviewed journals, book chapters, and conferences. He has also co-authored the book “Evolutionary Algorithms for Solving Multi-Objective Problems”, which is now in its Second Edition (Springer, 2007) and has co-edited the book “Applications of Multi-Objective Evolutionary Algorithms” (World Scientific, 2004). His publications currently report over 32,200 citations, according to Google Scholar (his h-index is 69).
He received the “2007 National Research Award” (granted by the Mexican Academy of Science) in the area of “exact sciences” and, since January 2011, he is an “IEEE Fellow” for “contributions to multi-objective optimization and constraint-handling techniques.” He is also the recipient of the prestigious “2013 IEEE Kiyo Tomiyasu Award” and of the “2012 National Medal of Science and Arts” in the area of “Physical, Mathematical and Natural Sciences” (this is the highest award that a scientist can receive in Mexico). He also serves as associate editor of the IEEE Transactions on Evolutionary Computation, Computational Optimization and Applications, Pattern Analysis and Applications, Journal of Heuristics, Evolutionary Computation and Applied Soft Computing.