BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:3
UID:UW-Physics-Event-6749
DTSTART:20211208T170000Z
DTEND:20211208T180000Z
DTSTAMP:20260414T192200Z
LAST-MODIFIED:20211207T161041Z
LOCATION:5280 Chamberlin Hall
SUMMARY:Genetic algorithms and breeding branes\, Physics ∩ ML Semina
 r\, Gregory Loges\, UW Madison
DESCRIPTION:Taking inspiration from nature\, genetic algorithms provid
 e an approach to optimization which mimics aspects of natural selectio
 n. Breeding\, mutation\, and ‘survival of the fittest’ all drive a
  population of individuals\, generation by generation\, towards their 
 fittest form. In this talk I will present an introduction to genetic a
 lgorithms and discuss ongoing work utilizing genetic algorithms to sea
 rch for consistent intersecting brane models.
URL:https://www.physics.wisc.edu/events/?id=6749
END:VEVENT
END:VCALENDAR