Eventos DaSCI

20 February, 2019

  • Webinar DaSCI - Seminar

    13/07/2022  12:00 pm - 2:00 pm

    Title: EvolutionaryIntelligent for Data Analytics and Optimization

    Speaker: Amir H. Gandomi

    Abstract: Evolutionary Intelligence (EI)has been widely used during the last two decades and has remained ahighly-researched topic, especially for complex real-world problems. The EItechniques are a subset of artificial intelligence, but they are slightlydifferent from the classical methods in the sense that the intelligence of EI comesfrom biological systems or nature in general. The efficiency of EC is due totheir significant ability to imitate the best features of nature which haveevolved by natural selection over millions of years. The central theme of thispresentation is about EI techniques and their application to complex real-world engineering problems. On thisbasis, first I will talk about an automated learning approach called geneticprogramming. Applied evolutionary learning will be presented, and then theirnew advances will be mentioned. Here, some of my studies on big data analyticsand modelling using EI and genetic programming, in particular, will bepresented. Second, evolutionary optimization will be presented including keyapplications in the design optimization of complex and nonlinear engineeringsystems. It will also be explained how such algorithms have been adopted to engineeringproblems and how their advantages over the classical optimization problems areused in action. Optimization results of large-scale towers and many-objectiveproblems will be presented which show the applicability of EI. Finally,heuristics will be explained which are adaptable with EI and they cansignificantly improve the optimization results.

    Bio: Amir H. Gandomi is a Professor ofData Science and an ARC DECRA Fellow at the Faculty of Engineering &Information Technology, University of Technology Sydney. Prior to joining UTS,Prof. Gandomi was an Assistant Professor at Stevens Institute of Technology,USA and a distinguished research fellow at BEACON center, Michigan StateUniversity, USA. Prof. Gandomi has published over three hundred journal papersand 12 books which collectively have been cited 30,000+ times (H-index = 79).He has been named as one of the most influential scientific minds and HighlyCited Researcher (top 1% publications and 0.1% researchers) for fiveconsecutive years, 2017 to 2021. He also ranked 17th in GP bibliography amongmore than 12,000 researchers. He has received multiple prestigious awards forhis research excellence and impact, such as the 2022 Walter L. Huber Prizewhich is known as the highest level mid-career research award in all areas ofcivil engineering. He has served as associate editor, editor, and guest editorin several prestigious journals such as AE of IEEE TBD and IEEE IoTJ. ProfGandomi is active in delivering keynotes and invited talks. His researchinterests are global optimisation and (big) data analytics using machinelearning and evolutionary computations in particular.

    URL: https://oficinavirtual.ugr.es/redes/SOR/SALVEUGR/accesosala.jsp?IDSALA=22970948

    Password: 660812

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