113 lines
5.1 KiB
MiniZinc
113 lines
5.1 KiB
MiniZinc
include "circuit.mzn";
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int: nbVehicles = 2;
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int: nbCustomers = 6;
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int: timeBudget = 50;
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set of int: VEHICLE = 1..nbVehicles;
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set of int: CUSTOMER = 1..nbCustomers;
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set of int: TIME = 0..timeBudget;
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set of int: NODES = 1..nbCustomers+2*nbVehicles;
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set of int: DEPOT_NODES = nbCustomers+1..nbCustomers+2*nbVehicles;
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set of int: START_DEPOT_NODES = nbCustomers+1..nbCustomers+nbVehicles;
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set of int: END_DEPOT_NODES = nbCustomers+nbVehicles+1..nbCustomers+2*
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nbVehicles;
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array[1..5, NODES, NODES] of int: distance;
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array[NODES] of int: serviceTime = [5, 3, 6, 1, 3, 3, 0, 0, 0, 0];
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array[1..5, NODES] of var NODES: successor;
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array[1..5, NODES] of var NODES: predecessor;
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array[NODES] of var VEHICLE: vehicle;
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array[1..5, NODES] of var TIME: arrivalTime;
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%%%%%%%%%%%%%%%%%%%%%%%%%
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var 0..timeBudget*5*max(weights): objective;
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%%%%%%%%%%%%%%%%%%%%%%%%%
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distance = array3d(1..5, NODES, NODES, [0, 4, 5, 7, 9, 10, 4, 4, 4, 4, 4, 0, 6,
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4, 5, 6, 3, 3, 3, 3, 5, 6, 0, 7, 9, 10, 3, 3, 3, 3, 7, 4, 7, 0, 2, 3, 4, 4,
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4, 4, 9, 5, 9, 2, 0, 1, 6, 6, 6, 6, 10, 6, 10, 3, 1, 0, 7, 7, 7, 7, 4, 3,
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3, 4, 6, 7, 0, 0, 0, 0, 4, 3, 3, 4, 6, 7, 0, 0, 0, 0, 4, 3, 3, 4, 6, 7, 0,
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0, 0, 0, 4, 3, 3, 4, 6, 7, 0, 0, 0, 0, 0, 8, 5, 7, 9, 10, 4, 4, 4, 4, 8, 0,
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6, 4, 5, 6, 5, 5, 5, 5, 5, 6, 0, 7, 9, 10, 3, 3, 3, 3, 7, 4, 7, 0, 2, 3, 6,
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6, 6, 6, 9, 5, 9, 2, 0, 1, 6, 6, 6, 6, 10, 6, 10, 3, 1, 0, 7, 7, 7, 7, 4,
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5, 3, 6, 6, 7, 0, 0, 0, 0, 4, 5, 3, 6, 6, 7, 0, 0, 0, 0, 4, 5, 3, 6, 6, 7,
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0, 0, 0, 0, 4, 5, 3, 6, 6, 7, 0, 0, 0, 0, 0, 4, 5, 7, 9, 10, 4, 4, 4, 4, 4,
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0, 6, 7, 5, 6, 3, 3, 3, 3, 5, 6, 0, 7, 9, 10, 9, 9, 9, 9, 7, 7, 7, 0, 2, 3,
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4, 4, 4, 4, 9, 5, 9, 2, 0, 1, 6, 6, 6, 6, 10, 6, 10, 3, 1, 0, 7, 7, 7, 7,
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4, 3, 9, 4, 6, 7, 0, 0, 0, 0, 4, 3, 9, 4, 6, 7, 0, 0, 0, 0, 4, 3, 9, 4, 6,
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7, 0, 0, 0, 0, 4, 3, 9, 4, 6, 7, 0, 0, 0, 0, 0, 4, 5, 7, 9, 10, 4, 4, 4, 4,
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4, 0, 6, 4, 5, 6, 3, 3, 3, 3, 5, 6, 0, 7, 9, 10, 6, 6, 6, 6, 7, 4, 7, 0, 5,
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3, 7, 7, 7, 7, 9, 5, 9, 5, 0, 1, 6, 6, 6, 6, 10, 6, 10, 3, 1, 0, 7, 7, 7,
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7, 4, 3, 6, 7, 6, 7, 0, 0, 0, 0, 4, 3, 6, 7, 6, 7, 0, 0, 0, 0, 4, 3, 6, 7,
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6, 7, 0, 0, 0, 0, 4, 3, 6, 7, 6, 7, 0, 0, 0, 0, 0, 7, 5, 7, 9, 10, 7, 7, 7,
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7, 7, 0, 6, 4, 5, 6, 3, 3, 3, 3, 5, 6, 0, 7, 9, 10, 3, 3, 3, 3, 7, 4, 7, 0,
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4, 3, 4, 4, 4, 4, 9, 5, 9, 4, 0, 1, 6, 6, 6, 6, 10, 6, 10, 3, 1, 0, 7, 7,
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7, 7, 7, 3, 3, 4, 6, 7, 0, 0, 0, 0, 7, 3, 3, 4, 6, 7, 0, 0, 0, 0, 7, 3, 3,
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4, 6, 7, 0, 0, 0, 0, 7, 3, 3, 4, 6, 7, 0, 0, 0, 0]);
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array[1..5] of int: weights = [3, 2, 2, 1, 1];
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constraint forall ( sc in 1..5 ) (
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forall ( n in nbCustomers+2..nbCustomers+nbVehicles ) (
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predecessor[sc, n]==n+nbVehicles-1
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)
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);
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constraint forall ( sc in 1..5 ) (
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predecessor[sc, nbCustomers+1]==nbCustomers+2*nbVehicles
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);
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constraint forall ( sc in 1..5 ) (
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forall ( n in nbCustomers+nbVehicles+1..nbCustomers+2*nbVehicles-1 ) (
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successor[sc, n]==n-nbVehicles+1
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)
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);
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constraint forall ( sc in 1..5 ) (
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successor[sc, nbCustomers+2*nbVehicles]==nbCustomers+1
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);
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constraint forall ( n in START_DEPOT_NODES ) ( vehicle[n]==n-nbCustomers );
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constraint forall ( n in END_DEPOT_NODES ) (
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vehicle[n]==n-nbCustomers-nbVehicles
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);
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constraint forall ( sc in 1..5 ) (
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forall ( n in START_DEPOT_NODES ) ( arrivalTime[sc, n]==0 )
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);
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constraint forall ( sc in 1..5 ) (
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forall ( n in NODES ) ( successor[sc, predecessor[sc, n]]==n )
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);
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constraint forall ( sc in 1..5 ) (
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forall ( n in NODES ) ( predecessor[sc, successor[sc, n]]==n )
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);
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constraint forall ( sc in 1..5 ) ( circuit ( i in NODES ) ( successor[sc, i] )
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);
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constraint forall ( sc in 1..5 ) (
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circuit ( i in NODES ) ( predecessor[sc, i] )
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);
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constraint forall ( sc in 1..5 ) (
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forall ( n in CUSTOMER ) ( vehicle[predecessor[sc, n]]==vehicle[n] )
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);
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constraint forall ( sc in 1..5 ) (
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forall ( n in CUSTOMER ) ( vehicle[successor[sc, n]]==vehicle[n] )
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);
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constraint forall ( sc in 1..5 ) (
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forall ( n in CUSTOMER ) (
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arrivalTime[sc, n]+serviceTime[n]+distance[sc, n, successor[sc, n]]<=
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arrivalTime[sc, successor[sc, n]]
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)
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);
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constraint forall ( sc in 1..5 ) (
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forall ( n in START_DEPOT_NODES ) (
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arrivalTime[sc, n]+serviceTime[n]+distance[sc, n, successor[sc, n]]<=
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arrivalTime[sc, successor[sc, n]]
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)
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);
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%%%%%%%%%
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constraint
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objective = sum ( sc in 1..5 ) ( weights[sc]*max ( i in NODES ) ( arrivalTime[sc, i] ) );
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solve :: seq_search([ int_search(vehicle, first_fail, indomain_min, complete),
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int_search([successor[sc,j] | sc in 1..5, j in NODES],
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first_fail, indomain_min, complete),
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int_search([arrivalTime[sc,n] | sc in 1..5, n in NODES],
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first_fail, indomain_min, complete)
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])
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minimize objective;
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output [
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"successor = array2d(1..5, ", show(NODES), ", ", show(successor), ");\n",
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"predecessor = array2d(1..5, ", show(NODES), ", ", show(predecessor), ");\n",
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"vehicle = ", show(vehicle), ";\n",
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"arrivalTime = array2d(1..5, ", show(NODES), ", ", show(arrivalTime), ");\n",
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"objective = ", show(objective), ";\n"
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];
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