Mysuru: GSSS Institute of Engineering and Technology for Women, Mysuru IEEE Student Branch in association with IEEE Bangalore Section, IEEE Mysore Sub Section and IEEE Circuits and System Society Bangalore Chapter organized International Webinar on “Evolutionary Learning and its Engineering Applications” by Dr. Amir H. Gandomi Professor of Data Science and an ARC DECRA Fellow Faculty of Engineering & Information Technology, University of Technology Sydney, Australia has invited as a speaker for the webinar. The webinar was graced by Dr. Shivakumar M, Principal, GSSSIETW, Dr. Parameshachari B D, Professor & Head, Dept. of TCE & IEEE Student Branch Counselor, GSSSSIETW, Mysuru and participants from all over India from different universities. The webinar was coordinated by Dr. Manjula G, Associate Professor, Department of ECE, Mr. Keerthi Kumar M and Mrs. Nayana C G, Assistant Professors, Department of TCE, GSSSSIETW, Mysuru.
The session on Evolutionary Learning and its Engineering Applications was given by Dr. Amir H. Gandomi Professor of Data Science and an ARC DECRA Fellow Faculty of Engineering & Information Technology, University of Technology Sydney, Australia. During first section Dr. Gandomi delivered speech on an evolutionary approach called genetic programming for data mining, Applied evolutionary computing, and then new advances such as big data mining. some of his studies on big data mining and modelling using Evolutionary Computation (EC) and genetic programming, Case studies’ topics include seismic design, inverse design, and material design in particular, has been presented.
In the second section, the evolutionary optimization algorithms and their key applications in the design optimization of complex and nonlinear engineering systems, how such algorithms have been adopted to civil, structural, and environmental engineering problems and how their advantages over the classical optimization problems are used in action was explained. Optimization results of large-scale engineering systems and many-objective problems has been presented which show the applicability of Evolutionary Computation (EC).
In the last section he had explained some heuristics which are adaptable with Evolutionary Computation (EC) and they can significantly improve the optimization results. The webinar was attended by more than 600 participants all the world. This webinar was greatly appreciated by the participants. All the queries of the participants were cleared by the resource persons.
