Guest talk: MOO – delivers more than one optimal answer to your complex problems

On September 21st, Kalyanmoy Deb a world-leading professor in Data Science with a passion for MOO (Multi-Objective Optimization) gives a guest lecture at ASSAR Industrial Innovation Center during the research conference in future manufacturing systems (click here to read more about this event). During his talk, Prof. Deb will take the industry perspective and guide us through the world of MOO.


About MOO


Abstract: Most problems in the industry involve more than one conflicting criterion to be simultaneously optimized. Despite the vast literature on scalarizing multiple criteria into a single one, evolutionary optimization methods of treating them as truly multi-criterion problems in a Pareto sense produce a number of additional benefits to the users. Their ability to find and maintain multiple trade-off solutions with a flexible and customizable framework provides vital knowledge about the problem in addition to the optimal solutions themselves. In this talk, we shall present a few popular and state-of-the-art algorithms and demonstrate their advantages on a number of real-world practical problems from engineering and the industry. Additionally, the use of machine learning algorithms and human knowledge in enhancing their performance and the use of multi-criterion algorithms in enhancing the performance of machine learning methods will be demonstrated.


About Kalyanmoy Deb


Bio-sketch: Kalyanmoy Deb is University Distinguished Professor and Koenig Endowed Chair Professor at the Department of Electrical and Computer Engineering at Michigan State University, USA. Prof. Deb's research interests are evolutionary optimization and its applications in multi-criterion optimization, modeling, and machine learning. He is and has been a visiting professor at various universities across the world, including IITs in India, Nanyang Technological University in Singapore, Aalto University in Finland, and the University of Skövde in Sweden. He was awarded IEEE Evolutionary Computation Pioneer Award for his sustained work in EMO, Infosys Prize, TWAS Prize in Engineering Sciences, CajAstur Mamdani Prize, Distinguished Alumni Award from IIT Kharagpur, Edgeworth-Pareto award, Bhatnagar Prize in Engineering Sciences, and Bessel Research award from Germany. He is a fellow of IEEE, ASME, and three Indian science and engineering academies. He has published over 580 research papers with Google Scholar citations of over 170,000 with h-index 127. He is on the editorial board on 10 major international journals. More information about his research contribution can be found at https://www.coin-lab.org.

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