Keynote: Evolution's Niche in Applied Optimization and Informatics
Kalyanmoy Deb
Indian Institute of Technology, Kanpur, India & Helsinki School of Economics, Finland
Evolutionary optimization algorithms are now clearly demonstrated to have an
edge over their traditional counterparts, particularly in handling practical
and difficult problem-solving tasks. The reasons for their success lie in their
flexibility in using different forms of an optimization problem, ease in
changing their operators to suit a problem, direct use of objectives and
constraints, and possessing simplistic operating principles. In this talk, we
shall borrow a practical power dispatch optimization problem to demonstrate how
each of these aspects can be exploited to come up with theoretically close
optimal solutions subjected to two conflicting objectives, scalable and
uncertain variables, non-linear equality constraints and dynamically changing
problem parameters. The latter part of the talk will address a far-reaching
issue -- explaining how multi-criterion evolutionary optimization can be
utilized to decipher hidden knowledge of a problem, which are otherwise
difficult to find by other means. The recently proposed 'innovization'
technique will also be demonstrated through the same power dispatch
optimization case study.
Biography
Kalyanmoy Deb is the Deva Raj Chair Professor of Mechanical Engineering at
Indian Institute of Technology Kanpur in India. Currently he is visiting
Helsinki of Economics in Finland as a Finland Distinguished Professor. He is
the recipient of the prestigious Shanti Swarup Bhatnagar Prize in Engineering
Sciences for the year 2005. He has also received the 'Thomson Citation Laureate
Award' from Thompson Scientific for having highest number of citations in
Computer Science during the past ten years in India. He is a fellow of Indian
National Academy of Engineering (INAE), Indian National Academy of
Sciences, and International Society of Genetic and Evolutionary Computation
(ISGEC). He has received Fredrick Wilhelm Bessel Research award from Alexander
von Humboldt Foundation in 2003. His main research interests are in the area of
computational optimization, modeling and design, and evolutionary algorithms.
He has written two text books on optimization and more than 200 international
journal and conference research papers. He has been working in evolutionary
optimization for the past 21 years. More information about his research can be
found from http://www.iitk.ac.in/kangal/deb.htm.
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