Boarding sequence optimizer

Passengers ? 150 Iterations ? 3,000 Min row gap ? 2 Seat blocking ? 3 Starting point ?

Simulation ?

Group creation ? Boarding groups ? 6 Passengers/group ? 12

Ticket logic ?: the algorithm creates the best individual sequence, then clusters it into Group 1, Group 2, Group 3... for the boarding pass.

Congestion score ?

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Gap violations ?

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Seat-block conflicts ?

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Improvements found ?

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Score reduced ?

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Ticket groups ?

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Seat map ?

early late empty

Score over iterations ?

Optimal individual sequence ?

window (A, F) middle (B, E) aisle (C, D)

Boarding groups menu ?

This is the ticket-ready version: Group 1 boards first, then Group 2, etc.

Seat	Boarding group	Order	Ticket label

How it works: every time Optimize is clicked, the app sends the selected passengers, iterations, row-gap, seat-blocking, starting-point and group-creation values to Python and starts a new simulation run with a fresh random seed. The algorithm can optimize classic front-door boarding or dual-door boarding, and then clusters the result into operational ticket groups such as Group 1 = 19A, 25B, 19E...