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A Practical Introduction to Integer Linear Programming
--client
pyohio
--show
pyohio_2019
--room hayscape 14859 --force
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Marks
Author(s):
Igor Ferst
Location
Hays Cape
Date
jul Sun 28
Days Raw Files
Start
July 28, 2019, 2:30 p.m.
First Raw Start
July 19, 2019, 9:46 a.m.
Duration
0:30:0
Offset
9 days, 4:43:35
End
July 28, 2019, 3 p.m.
Last Raw End
July 19, 2019, 11:16 a.m.
Chapters
00:00
0:01:01
Total cuts_time
25 min.
https://www.pyohio.org/2019/presentations/86
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How do airlines choose which planes service which routes? How does a hospital optimize the shift schedule for hundreds of doctors and nurses? How do you choose the optimal location for a group of fulfillment centers, or oil derricks, or cell towers? These kinds of problems (and many others!) can be solved with integer linear programming (ILP), a powerful and decades-old framework for solving optimization problems. In this talk we will give a brief introduction to ILP and describe it's uses, strengths, and weaknesses. We will also show how to solve a real-world vehicle routing problem using Google's open-source python library for ILP. Trigger warning: this talk will contain high-school level math. Integer linear programming (ILP) is a powerful framework for solving optimization problems related to scheduling, resource allocation, vehicle routing, and many other areas. This talk will give a brief introduction to ILP and show how to solve a real-world vehicle routing problem using Google's open-source python library for ILP.
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production notes
2019-07-19/09_46_25.ts
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10:15:23 - 10:16:25 ( 00:01:01 )
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vlc ~/Videos/veyepar/pyohio/pyohio_2019/dv/hayscape/2019-07-19/09_46_25.ts :start-time=01738.173807 --audio-desync=0
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July 19, 2019, 9:46 a.m.
seconds: 1738.173807
Wall: 10:15:23
Duration
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July 19, 2019, 10:16 a.m.
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Wall: 09:46:25
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2019-07-19/10_16_24.ts
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July 19, 2019, 10:46 a.m.
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July 19, 2019, 10:46 a.m.
seconds: 1147.0
Wall: 11:05:31
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July 19, 2019, 11:16 a.m.
seconds: 0.0
Wall: 10:46:24
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2019-07-19/10_46_24.ts
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