Our June 2021 evening presentation was on Evolutionary Computing.
|Topic:||Evening presentation: Evolutionary Computing for Multi-objective Optimization|
|Presenter:||Dr. Anuradha D. Thakare
PhD, MIET, MIEEE, LMISTE, Member ACM, IAENG
Professor - Computer Engineering, and Dean International Relations,
Pimpri-Chinchwad College of Engineering, Pune, India
Secretary, IET Pune Local Network, India
|Date:||Wednesday June 16|
|Time:||7:00 pm - 9:00 pm|
|Venue:||Webinar via Microsoft Teams|
Evolutionary Computing is a computational intelligence technique inspired from natural evolution. An algorithm starts with creating a population that represent possible solutions to the problem. There is no single solution that simultaneously optimizes each objective in a non-trivial multi-objective optimization problem. Natural evolution is used as a model for developing a strategy for finding optimal or near-optimal solutions to a problem. The use of evolutionary optimization techniques can lead to the discovery of multiple optimal solutions in research and industry applications. Obtaining pareto-optimal set of solutions is at most important.
The presentation highlighted the Evolutionary Computing approach for solving Multi-Objective Optimization problem. It also discussed a few applications of this technique in the areas of Mechanical Engineering, Electrical Engineering and other real-world scenarios.