Multi-Objective Particle Swarm Optimizers: Past, Present
and Future
Professor Carlos Artemio Coello Coello
CINVESTAV-IPN, Mexico
Abstract:
This talk will provide a review of the research that has
been conducted on the use of particle swarm optimization
for solving multi-objective problems. The talk will
emphasize the main algorithmic developments that have
been reported in the specialized literature, and will
include a brief analysis of some of the most representative
multi-objective particle swarm optimizers (MOPSOs)
that have been proposed so far. The talk will also include
some of the real-world applications of these MOPSOs
and will conclude with some of the potential paths for
future research in this area.
Biography:
Professor 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 380 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 23,000 citations, according to Google Scholar (his
h-index is 61).
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 journals Evolutionary
Computation, IEEE Transactions on Evolutionary Computation, Computational
Optimization and Applications and Applied Soft Computing.