School planners face a number of goals and constraints that lend themselves to optimization, including:
Recent research demonstrates that early high school start times are bad for adolescent health, and contribute to obesity, depression, traffic accidents, diminished academic achievement and cognitive ability.
In 2017, Boston Public Schools announced the Boston Public Schools Transportation Challenge.
A group of Julia researchers from MIT took up the challenge, and devised the winning solution.
How did they do it?
They leveraged Julia’s JuMP optimization package to solve the School Time Selection Problem (STSP) using a new algorithm they developed called Bi-objective Routing Decomposition (BiRD).
And what were the results for Boston Public Schools, students and parents?
In the first year alone (fall 2017), Boston Public Schools
Furthermore, Julia researchers identified an optimal solution that, if fully implemented, will:
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