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TZID:Europe/Warsaw
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DTSTART:20241027T030000
RDATE:20251026T030000
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DTSTART:20250330T030000
RDATE:20260329T030000
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SUMMARY:Solving Hard Optimization Problems with Pyomo and HiGHS: A Practic
 al Introduction - Florian Wilhelm
DTSTART;TZID=Europe/Warsaw:20250821T160000
DTEND;TZID=Europe/Warsaw:20250821T162000
DTSTAMP:20260907T085249Z
UID:pretalx-euroscipy-2025-ZRA3GV@pretalx.com
DESCRIPTION:Mixed-Integer Programming (MIP) is a fundamental technique for
  solving complex real-world optimization problems in logistics\, schedulin
 g\, and resource allocation. However\, these problems are combinatorially 
 hard\, requiring specialized solvers to find optimal solutions efficiently
 . This talk introduces Pyomo\, a Python-based modeling language\, and HiGH
 S\, a state-of-the-art open-source solver. We will first explore the class
  of problems that MIP can solve\, discuss why they are computationally cha
 llenging\, and then explain how modern solvers like HiGHS tackle these cha
 llenges. Using conference scheduling as a real-world example\, we demonstr
 ate how Pyomo and HiGHS work together to model and solve an optimization p
 roblem. Attendees will leave with a clear understanding of how to leverage
  these tools for scientific and industrial optimization tasks.
LOCATION:Room 1.38 (Ground Floor)
URL:https://pretalx.com/euroscipy-2025/talk/ZRA3GV/
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