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Air transport

Description
Problem name and type, featuresDifficultyRelated examples
F‑1 Flight connections at a hub: Assignment problem * assignment_graph.mos, i1assign.mos, c6assign.mos
F‑2 Composing flight crews: Bipartite matching **** matching_graph.mos
2 problems, data preprocessing, incremental definition of data array, encoding of arcs, logical or (cumulative version) and and, procedure for printing solution, forall-do, max, finalize
F‑3 Scheduling flight landings: Scheduling problem with time windows ***
generalization of model to arbitrary time windows; calculation of specific BigM, forall-do
F‑4 Airline hub location: Hub location problem ***
quadruple indices; improved (re)formulation (first model not usable with student version), union of index (range) sets
F‑5 Planning a flight tour: Symmetric traveling salesman problem ***** tsp_graph.mos
loop over problem solving, TSP subtour elimination algorithm; procedure for generating additional constraints, recursive subroutine calls, working with sets, forall-do, repeat-until, getsize, not


Further explanation of this example: 'Applications of optimization with Xpress-MP', Chapter 11: Air transport

mosel_app_6.zip[download all files]

Source Files
By clicking on a file name, a preview is opened at the bottom of this page.
f1connect.mos[download]
f2crew.mos[download]
f3landing.mos[download]
f4hub.mos[download]
f4hub2.mos[download]
f4hub3.mos[download]
f5tour.mos[download]
f5tour2.mos[download]

Data Files
f1connect.dat[download]
f2crew.dat[download]
f3landing.dat[download]
f4hub.dat[download]
f5tour.dat[download]
f5tour23.dat[download]
f5tour7.dat[download]




f5tour7.dat

! Data file for `f5tour2.mos'

CITIES: ["Bordeaux" "Lille" "Lyon" "Marseille" "Nantes" "Paris" "Toulouse"]

DIST: [
! "Bordeaux" "Lille" "Lyon" "Marseille" "Nantes" "Paris" "Toulouse"
("Bordeaux" "Bordeaux")    0 786 549 657 331 559 250
("Lille" "Bordeaux")     786   0 668 979 593 224 905
("Lyon" "Bordeaux")      549 668   0 316 607 472 467
("Marseille" "Bordeaux") 657 979 316   0 890 769 400
("Nantes" "Bordeaux")    331 593 607 890   0 386 559
("Paris" "Bordeaux")     559 224 472 769 386   0 681
("Toulouse" "Bordeaux")  250 905 467 400 559 681   0]
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