diff -r d59bea55db9b -r c445c931472f examples/train.mod --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/examples/train.mod Mon Dec 06 13:09:21 2010 +0100 @@ -0,0 +1,281 @@ +# TRAIN, a model of railroad passenger car allocation +# +# References: +# Robert Fourer, David M. Gay and Brian W. Kernighan, "A Modeling Language +# for Mathematical Programming." Management Science 36 (1990) 519-554. + +### SCHEDULE SETS AND PARAMETERS ### + +set cities; + +set links within {c1 in cities, c2 in cities: c1 <> c2}; + + # Set of cities, and set of intercity links + +param last > 0 integer; # Number of time intervals in a day + +set times := 1..last; # Set of time intervals in a day + +set schedule within + {c1 in cities, t1 in times, + c2 in cities, t2 in times: (c1,c2) in links}; + + # Member (c1,t1,c2,t2) of this set represents + # a train that leaves city c1 at time t1 + # and arrives in city c2 at time t2 + +### DEMAND PARAMETERS ### + +param section > 0 integer; + + # Maximum number of cars in one section of a train + +param demand {schedule} > 0; + + # For each scheduled train: + # the smallest number of cars that + # can meet demand for the train + +param low {(c1,t1,c2,t2) in schedule} := ceil(demand[c1,t1,c2,t2]); + + # Minimum number of cars needed to meet demand + +param high {(c1,t1,c2,t2) in schedule} + + := max (2, min (ceil(2*demand[c1,t1,c2,t2]), + section*ceil(demand[c1,t1,c2,t2]/section) )); + + # Maximum number of cars allowed on a train: + # 2 if demand is for less than one car; + # otherwise, lesser of + # number of cars needed to hold twice the demand, and + # number of cars in minimum number of sections needed + +### DISTANCE PARAMETERS ### + +param dist_table {links} >= 0 default 0.0; + +param distance {(c1,c2) in links} > 0 + := if dist_table[c1,c2] > 0 then dist_table[c1,c2] else dist_table[c2,c1]; + + # Inter-city distances: distance[c1,c2] is miles + # between city c1 and city c2 + +### VARIABLES ### + +var U 'cars stored' {cities,times} >= 0; + + # u[c,t] is the number of unused cars stored + # at city c in the interval beginning at time t + +var X 'cars in train' {schedule} >= 0; + + # x[c1,t1,c2,t2] is the number of cars assigned to + # the scheduled train that leaves c1 at t1 and + # arrives in c2 at t2 + +### OBJECTIVES ### + +minimize cars: + sum {c in cities} U[c,last] + + sum {(c1,t1,c2,t2) in schedule: t2 < t1} X[c1,t1,c2,t2]; + + # Number of cars in the system: + # sum of unused cars and cars in trains during + # the last time interval of the day + +minimize miles: + sum {(c1,t1,c2,t2) in schedule} distance[c1,c2] * X[c1,t1,c2,t2]; + + # Total car-miles run by all scheduled trains in a day + +### CONSTRAINTS ### + +account {c in cities, t in times}: + + U[c,t] = U[c, if t > 1 then t-1 else last] + + + sum {(c1,t1,c,t) in schedule} X[c1,t1,c,t] - + sum {(c,t,c2,t2) in schedule} X[c,t,c2,t2]; + + # For every city and time: + # unused cars in the present interval must equal + # unused cars in the previous interval, + # plus cars just arriving in trains, + # minus cars just leaving in trains + +satisfy {(c1,t1,c2,t2) in schedule}: + + low[c1,t1,c2,t2] <= X[c1,t1,c2,t2] <= high[c1,t1,c2,t2]; + + # For each scheduled train: + # number of cars must meet demand, + # but must not be so great that unnecessary + # sections are run + +### DATA ### + +data; + +set cities := BO NY PH WA ; + +set links := (BO,NY) (NY,PH) (PH,WA) + (NY,BO) (PH,NY) (WA,PH) ; + +param dist_table := [*,*] BO NY 232 + NY PH 90 + PH WA 135 ; + +param last := 48 ; + +param section := 14 ; + +set schedule := + + (WA,*,PH,*) 2 5 6 9 8 11 10 13 + 12 15 13 16 14 17 15 18 + 16 19 17 20 18 21 19 22 + 20 23 21 24 22 25 23 26 + 24 27 25 28 26 29 27 30 + 28 31 29 32 30 33 31 34 + 32 35 33 36 34 37 35 38 + 36 39 37 40 38 41 39 42 + 40 43 41 44 42 45 44 47 + 46 1 + + (PH,*,NY,*) 1 3 5 7 9 11 11 13 + 13 15 14 16 15 17 16 18 + 17 19 18 20 19 21 20 22 + 21 23 22 24 23 25 24 26 + 25 27 26 28 27 29 28 30 + 29 31 30 32 31 33 32 34 + 33 35 34 36 35 37 36 38 + 37 39 38 40 39 41 40 42 + 41 43 42 44 43 45 44 46 + 45 47 47 1 + + (NY,*,BO,*) 10 16 12 18 14 20 15 21 + 16 22 17 23 18 24 19 25 + 20 26 21 27 22 28 23 29 + 24 30 25 31 26 32 27 33 + 28 34 29 35 30 36 31 37 + 32 38 33 39 34 40 35 41 + 36 42 37 43 38 44 39 45 + 40 46 41 47 42 48 43 1 + 44 2 45 3 46 4 48 6 + + (BO,*,NY,*) 7 13 9 15 11 17 12 18 + 13 19 14 20 15 21 16 22 + 17 23 18 24 19 25 20 26 + 21 27 22 28 23 29 24 30 + 25 31 26 32 27 33 28 34 + 29 35 30 36 31 37 32 38 + 33 39 34 40 35 41 36 42 + 37 43 38 44 39 45 40 46 + 41 47 43 1 45 3 47 5 + + (NY,*,PH,*) 1 3 12 14 13 15 14 16 + 15 17 16 18 17 19 18 20 + 19 21 20 22 21 23 22 24 + 23 25 24 26 25 27 26 28 + 27 29 28 30 29 31 30 32 + 31 33 32 34 33 35 34 36 + 35 37 36 38 37 39 38 40 + 39 41 40 42 41 43 42 44 + 43 45 44 46 45 47 46 48 + 47 1 + + (PH,*,WA,*) 1 4 14 17 15 18 16 19 + 17 20 18 21 19 22 20 23 + 21 24 22 25 23 26 24 27 + 25 28 26 29 27 30 28 31 + 29 32 30 33 31 34 32 35 + 33 36 34 37 35 38 36 39 + 37 40 38 41 39 42 40 43 + 41 44 42 45 43 46 44 47 + 45 48 46 1 47 2 ; + +param demand := + + [WA,*,PH,*] 2 5 .55 6 9 .01 8 11 .01 + 10 13 .13 12 15 1.59 13 16 1.69 + 14 17 5.19 15 18 3.55 16 19 6.29 + 17 20 4.00 18 21 5.80 19 22 3.40 + 20 23 4.88 21 24 2.92 22 25 4.37 + 23 26 2.80 24 27 4.23 25 28 2.88 + 26 29 4.33 27 30 3.11 28 31 4.64 + 29 32 3.44 30 33 4.95 31 34 3.73 + 32 35 5.27 33 36 3.77 34 37 4.80 + 35 38 3.31 36 39 3.89 37 40 2.65 + 38 41 3.01 39 42 2.04 40 43 2.31 + 41 44 1.52 42 45 1.75 44 47 1.88 + 46 1 1.05 + + [PH,*,NY,*] 1 3 1.05 5 7 .43 9 11 .20 + 11 13 .21 13 15 .40 14 16 6.49 + 15 17 16.40 16 18 9.48 17 19 17.15 + 18 20 9.31 19 21 15.20 20 22 8.21 + 21 23 13.32 22 24 7.35 23 25 11.83 + 24 26 6.61 25 27 10.61 26 28 6.05 + 27 29 9.65 28 30 5.61 29 31 9.25 + 30 32 5.40 31 33 8.24 32 34 4.84 + 33 35 7.44 34 36 4.44 35 37 6.80 + 36 38 4.11 37 39 6.25 38 40 3.69 + 39 41 5.55 40 42 3.29 41 43 4.77 + 42 44 2.91 43 45 4.19 44 46 2.53 + 45 47 4.00 47 1 1.65 + + [NY,*,BO,*] 10 16 1.23 12 18 3.84 14 20 4.08 + 15 21 1.47 16 22 2.96 17 23 1.60 + 18 24 2.95 19 25 1.71 20 26 2.81 + 21 27 1.77 22 28 2.87 23 29 1.84 + 24 30 2.95 25 31 1.91 26 32 3.12 + 27 33 1.93 28 34 3.31 29 35 2.00 + 30 36 3.40 31 37 2.08 32 38 3.41 + 33 39 2.69 34 40 4.45 35 41 2.32 + 36 42 3.40 37 43 1.80 38 44 2.63 + 39 45 1.52 40 46 2.23 41 47 1.25 + 42 48 1.79 43 1 .97 44 2 1.28 + 45 3 .48 46 4 .68 48 6 .08 + + [BO,*,NY,*] 7 13 .03 9 15 1.29 11 17 4.59 + 12 18 2.56 13 19 3.92 14 20 2.37 + 15 21 3.81 16 22 2.24 17 23 3.51 + 18 24 2.13 19 25 3.28 20 26 2.05 + 21 27 3.15 22 28 1.99 23 29 3.09 + 24 30 1.93 25 31 3.19 26 32 1.91 + 27 33 3.21 28 34 1.85 29 35 3.21 + 30 36 1.71 31 37 3.04 32 38 2.08 + 33 39 3.13 34 40 1.96 35 41 2.53 + 36 42 1.43 37 43 2.04 38 44 1.12 + 39 45 1.71 40 46 .91 41 47 1.32 + 43 1 1.80 45 3 1.13 47 5 .23 + + [NY,*,PH,*] 1 3 .04 12 14 4.68 13 15 5.61 + 14 16 3.56 15 17 5.81 16 18 3.81 + 17 19 6.31 18 20 4.07 19 21 7.33 + 20 22 4.55 21 23 7.37 22 24 4.73 + 23 25 7.61 24 26 4.92 25 27 7.91 + 26 28 5.19 27 29 8.40 28 30 5.53 + 29 31 9.32 30 32 5.51 31 33 10.33 + 32 34 9.21 33 35 18.95 34 36 11.23 + 35 37 16.85 36 38 7.29 37 39 10.89 + 38 40 5.41 39 41 8.21 40 42 4.52 + 41 43 6.99 42 44 3.92 43 45 6.21 + 44 46 3.44 45 47 5.17 46 48 2.55 + 47 1 1.24 + + [PH,*,WA,*] 1 4 .20 14 17 4.49 15 18 3.53 + 16 19 2.67 17 20 3.83 18 21 3.01 + 19 22 4.12 20 23 3.15 21 24 4.67 + 22 25 3.20 23 26 4.23 24 27 2.87 + 25 28 3.84 26 29 2.60 27 30 3.80 + 28 31 2.77 29 32 4.31 30 33 3.16 + 31 34 4.88 32 35 3.45 33 36 5.55 + 34 37 3.52 35 38 6.11 36 39 3.32 + 37 40 5.53 38 41 3.03 39 42 4.51 + 40 43 2.53 41 44 3.39 42 45 1.93 + 43 46 2.52 44 47 1.20 45 48 1.75 + 46 1 .88 47 2 .87 ; + +end;