Speaker:
Jacob Barhak
Collaborators:
Aaron Garrett, Anselm Blumer, Olaf Dammann

Evolutionary Computation algorithms include Genetic Algorithms and other population operations. Such algorithms are used for optimization problems, and are especially powerful with discrete data.

The idea behind those algorithms will be explained and a few applications will be shown using previous work:

1. Fair tournament generation : https://github.com/Jacob-Barhak/FairTournament
2. Population generation for Micro-simulation: https://github.com/Jacob-Barhak/MIST
3. Population Disease Occurrence Models: https://github.com/Jacob-Barhak/PopDOM

The presentation will follow these publications by the presenter and his collaborators:
J. Barhak, A. Garrett, Evolutionary Computation Examples with Inspyred. PyCon Israel Bar Ilan University, June 4-5, 2018, Abstract: https://il.pycon.org/2018/schedule/presentation/38/ Presentation: http://sites.google.com/site/jacobbarhak/home/PyConIsrael_2018_06_04.odp Video: https://youtu.be/PPpmUq8ueiY

Jacob Barhak, Aaron Garrett, Anselm Blumer, Olaf Dammann, Population Disease Occurrence Models Using Evolutionary Computation. MODSIM World 2019, April 22-24, 2019, Norfolk, VA Paper: http://www.modsimworld.org/papers/2019/MODSIM_2019_paper_14.pdf code: https://github.com/Jacob-Barhak/PopDOM , Presentation: https://jacob-barhak.github.io/Presentation_MODSIM_2019.html

Location