Evolutionary Multitasking – A New Paradigm
We are in era where many methods of computational problem-solving methodologies are being developed to address the diverse issues that researchers are intersted. Traditional methods for optimization, including the population-based search algorithms of Evolutionary Computation (EC). Have generally been focused on efficiently solving only a single optimization task at a time. In fact, the variety and volume of incoming information streams that must be absorbed and appropriately processed, the need to multitask are unprecedented. Recently, Multifactorial Optimization (MFO) has been developed to explore the potential for evolutionary multitasking. The pursuit of intelligent systems and algorithms that are capable of efficient multitasking is rapidly gaining importance among contemporary scientists who are faced with the increasing complexity of real-world problems. We introduce the characteristic of population-based search algorithms. Their inherent ability (much like the human mind) to handle multiple optimization tasks at once. Most notably, it shows that multi-tasking allows a person to automatically promote common ground between different optimization tasks, thus providing a significant scope for improvement in problem solving in the real world.
Assoc. Prof. Huynh Thi Thanh Binh – Hanoi University of Science and Technology (Vietnam)
Huynh Thi Thanh Binh is Associate Professor and Vice Dean of the School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology (HUST). She is Head of Modeling, Simulation and Optimization Lab (MSO).
Her current research interests include – Computational Intelligence, Artificial Intelligence, Memetic Computing, Evolutionary Multitasking. She has published more than 80 refereed academic papers/articles, 2 Books; Editor 1 Book. She is Associate Editor of the International Journal of Advances in intelligent Informatics, VNU Journal Computer Science Communication Engineering; Editor Board of Journal of Computer Science and Cybernetics,. She has served as a regular reviewer, a programme committee member of numerous prestigious academic journals and conferences, such as IEEE Transactions on Vehicular Technology, Journal of Information Science and Engineering, IES, SoICT…
She is member of IEEE Computational Intelligence Society – Women in Computational Intelligence Committe (2017, 2018); Chair of IEEE Computational Intelligent Society Vietnam Chapter (IEEE Vietnam CIS). She is member of some committee of IEEE Asia Pacific: Strategic Planning, Membership Development, Humanitarian Technology Activities.