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tsp_localsolver_backup.cc
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tsp_localsolver_backup.cc
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#include <algorithm>
#include <cmath>
#include <fstream>
#include <iomanip>
#include <lsarray.h>
#include <lscollection.h>
#include <lsexpression.h>
#include <lssolution.h>
#include <ostream>
#include <string>
#include <typeinfo>
#include <vector>
#include "./localsolver_result.pb.h"
#include "./localsolver_vrp.pb.h"
#include "localsolver.h"
#include "ortools/base/commandlineflags.h"
// global SERVICE_DURATION_INCLUDED_IN_TIME_WINDOW = false;
#define CUSTOM_MAX_INT std::static_cast<int64>(std::pow(2, 30))
DEFINE_string(solution_file, "", "solution file name ");
DEFINE_string(instance_file, "", "instance file name or data");
DEFINE_int64(time_limit_in_ms, 1000, "Time limit in ms, no option means no limit.");
DEFINE_int64(no_solution_improvement_limit, -1, "Iterations whitout improvement");
DEFINE_int64(minimum_duration, -1, "Initial time whitout improvement in ms");
DEFINE_int64(init_duration, -1, "Maximum duration to find a first solution");
DEFINE_int64(time_out_multiplier, 2, "Multiplier for the next time out");
DEFINE_int64(vehicle_limit, 0, "Define the maximum number of vehicle");
DEFINE_int64(solver_parameter, -1, "Force a particular behavior");
DEFINE_bool(only_first_solution, false, "Compute only the first solution");
DEFINE_bool(verification_only, false, "Only verify the suplied initial solution");
DEFINE_bool(balance, false, "Route balancing");
DEFINE_bool(nearby, false, "Short segment priority");
#ifdef DEBUG
DEFINE_bool(debug, true, "debug display");
#else
DEFINE_bool(debug, false, "debug display");
#endif
DEFINE_bool(intermediate_solutions, false, "display intermediate solutions");
DEFINE_string(routing_search_parameters,
"", /* An example of how we can override the default settings */
// "first_solution_strategy:ALL_UNPERFORMED"
// "local_search_operators {"
// " use_path_lns:BOOL_TRUE"
// " use_inactive_lns:BOOL_TRUE"
// "}",
"Text proto RoutingSearchParameters (possibly partial) that will "
"override the DefaultRoutingSearchParameters()");
using namespace localsolver;
using namespace google::protobuf;
using namespace std;
class localsolver_VRP {
public:
const localsolver_vrp::Problem problem;
LocalSolver localsolver;
LSModel model;
vector<LSExpression> timeMatrices;
vector<LSExpression> distanceMatrices;
LSExpression serviceMatrixIndicies;
LSExpression quantitiesMatrix;
LSExpression startArrayService; // rename TW
LSExpression endArrayService; // rename TW
LSExpression serviceTime;
LSExpression capacitiesMatrix;
LSExpression vehicle_start_indicies;
LSExpression vehicle_end_indicies;
// LSExpression maximum_latenessArray; // lateness by TW (service/vehicle/pause)
bool hasDistanceMatrix = false;
// function(vector<LSExpression> & Matrices, const
// ::PROTOBUF_NAMESPACE_ID::RepeatedField< float >& matrix){
void MatrixBuilder(vector<LSExpression>& Matrices, const RepeatedField<float>& matrix) {
LSExpression Matrix(model.array());
int matrix_size = sqrt(matrix.size());
vector<int> zeros(matrix_size + 1, 0);
for (int i = 0; i < matrix_size; i++) {
vector<int> matrix_row;
matrix_row.reserve(matrix_size);
for (int j = 0; j < matrix_size; j++) {
matrix_row.push_back(ceil(matrix.at(i * matrix_size + j)));
}
matrix_row.push_back(0);
Matrix.addOperands(model.array(matrix_row.begin(), matrix_row.end()));
}
Matrix.addOperands(model.array(zeros.begin(), zeros.end()));
Matrices.push_back(Matrix);
}
// Constructor
localsolver_VRP(localsolver_vrp::Problem& pb)
: problem(pb)
, localsolver()
, model(localsolver.getModel())
, timeMatrices(0, model.array())
, distanceMatrices(0, model.array())
, quantitiesMatrix(model.array())
, startArrayService(model.array())
, endArrayService(model.array())
, serviceTime(model.array())
, capacitiesMatrix(model.array())
, vehicle_start_indicies(model.array())
, vehicle_end_indicies(model.array()) {
for (const auto& matrix : problem.matrices()) {
MatrixBuilder(timeMatrices, matrix.time());
MatrixBuilder(distanceMatrices, matrix.time());
}
// Capacities data + Time_windows data + distance from deposit
vector<int> vehicle_start_indicies_vec;
vector<int> vehicle_end_indicies_vec;
vector<vector<int>> vehicle_capacities_vec;
// LSExpression vehicles(
// model.array(problem.vehicles().begin(), problem.vehicles().end()));
int k = 0;
for (auto vehicle : problem.vehicles()) {
int matrix_size =
std::max(sqrt(problem.matrices(vehicle.matrix_index()).time_size()),
sqrt(problem.matrices(vehicle.matrix_index()).distance_size()));
if (vehicle.start_index() == -1) {
vehicle_start_indicies_vec.push_back(matrix_size);
} else {
vehicle_start_indicies_vec.push_back(vehicle.start_index());
}
if (vehicle.end_index() == -1) {
vehicle_end_indicies_vec.push_back(matrix_size);
} else {
vehicle_end_indicies_vec.push_back(vehicle.end_index());
}
vehicle_capacities_vec.push_back(vector<int>(vehicle.capacities_size()));
for (int unit_i = 0; unit_i < vehicle.capacities_size(); unit_i++) {
vehicle_capacities_vec[k].push_back(vehicle.capacities(unit_i).limit());
}
k++;
}
vehicle_start_indicies =
model.array(vehicle_start_indicies_vec.begin(), vehicle_start_indicies_vec.end());
vehicle_end_indicies =
model.array(vehicle_end_indicies_vec.begin(), vehicle_end_indicies_vec.end());
cout << vehicle_start_indicies.toString() << endl;
vector<int> serviceTime_vec;
vector<int> serviceMatrixIndicies_vec;
// Quantities data + time_windows for each service :
int s = 0;
for (auto service : problem.services()) {
serviceMatrixIndicies_vec.push_back(service.matrix_index());
serviceTime_vec.push_back(service.duration());
LSExpression row_quantity = model.array();
for (auto quantity : service.quantities()) {
row_quantity.addOperand(quantity);
}
quantitiesMatrix.addOperand(row_quantity);
s++;
}
serviceMatrixIndicies =
model.array(serviceMatrixIndicies_vec.begin(), serviceMatrixIndicies_vec.end());
serviceTime = model.array(serviceTime_vec.begin(), serviceTime_vec.end());
// cout << serviceTime.getArrayValue().toString() << endl;
}
void createModel() {
// Decision Variables :
// A tour for each vehicle
vector<LSExpression> servicesSequences;
servicesSequences.reserve(problem.vehicles_size());
for (auto vehicle : problem.vehicles()) {
servicesSequences.push_back(model.listVar(problem.services_size()));
}
// Are the vehicles actually used?
vector<LSExpression> vehiclesUsed;
// Number of vehicles used
LSExpression nbVehiclesUsed;
// // Cumulated lateness
// LSExpression totalLateness;
// // cumulated distance
// LSExpression totalDistance;
//
vehiclesUsed.resize(problem.vehicles_size());
vector<LSExpression> routeDistances(problem.vehicles_size());
vector<LSExpression> routeDuration(problem.vehicles_size());
vector<LSExpression> endTime(problem.vehicles_size()),
homeLateness(problem.vehicles_size()), lateness(problem.vehicles_size());
// rename all expression :
// all services must be satisfied by the vehicles
LSExpression partition =
model.partition(servicesSequences.begin(), servicesSequences.end());
model.constraint(partition);
vector<LSExpression> endTimes(problem.vehicles_size());
// Constraints for each vehicle
int k = 0;
for (const auto& vehicle : problem.vehicles()) {
LSExpression sequence = servicesSequences[k];
sequence.setName("sequence_" + to_string(k));
LSExpression c = model.count(sequence);
vehiclesUsed[k] = c > 0;
vehiclesUsed[k].setName("vehicleUsed_" + to_string(k));
// // Add capacity constraints for each dimension
// for (int unit = 0; unit < problem.vehicles(0).capacities_size();
// unit++) {
// LSExpression quantityCumulator =
// model.createLambdaFunction([&](LSExpression i, LSExpression
// prev)
// {
// return prev + quantitiesMatrix[k][i];
// });
// LSExpression routeQuantity =
// model.array(model.range(0, c), quantityCumulator);
// LSExpression quantityChecker =
// model.createLambdaFunction([&](LSExpression i) {
// return routeQuantity[i] <= vehicle.capacities(unit).limit();
// });
// model.constraint(model.and_(model.range(0, c), quantityChecker));
// }
// // End of each visit :
// if (hasTimeMatrix) {
// LSExpression endSelector =
// model.createLambdaFunction([&](LSExpression i, LSExpression
// prev)
// {
// return model.max(
// startArrayService[sequence[i]],
// model.iif(i == 0,
// model.at(timeMatrices, sequence[0],
// vehicle.end_index()),
// prev + model.at(timeMatrices, sequence[i
// - 1],
// sequence[i]))) +
// serviceTime[sequence[i]];
// });
// endSelector.setName("endSelector_" + to_string(k));
// endTime[k] = model.array(model.range(0, c), endSelector);
// endTime[k].setName("endTime_" + to_string(k));
// }
LSExpression timeSelector = model.createLambdaFunction([&](LSExpression i,
LSExpression prev) {
return model.iif(
c == 0, 0,
model.iif(i == 0,
model.at(timeMatrices[vehicle.matrix_index()],
vehicle_start_indicies[k],
serviceMatrixIndicies[sequence[0]]) +
serviceTime[sequence[i]],
prev + model.iif(i < c,
model.at(timeMatrices[vehicle.matrix_index()],
serviceMatrixIndicies[sequence[i - 1]],
serviceMatrixIndicies[sequence[i]]) +
serviceTime[sequence[i]],
model.at(timeMatrices[vehicle.matrix_index()],
serviceMatrixIndicies[sequence[c - 1]],
vehicle_end_indicies[k]))));
});
routeDuration[k] = model.array(model.range(0, c + 1), timeSelector);
endTimes[k] = routeDuration[k][c];
;
// model.constraint(endTimes[k] <= vehicle.duration());
// if (vehicle.duration() > 0 &&
// (!vehicle.has_time_window() ||
// vehicle.time_window().end() - vehicle.time_window().start() >
// vehicle.duration())) {
// LSExpression duration_constraint =
// routeDuration[k] <= static_cast<lsint>(vehicle.duration());
// duration_constraint.setName("duration_constraint_" + to_string(k));
// model.constraint(duration_constraint);
// }
// lsint maxDuration(10);
// model.constraint(endTime[k] <= maxDuration);
// for (auto relation : problem.relations()) {
// if (relation.type() == "Order") {
// for (int link_index = 0; link_index < relation.linked_ids_size()
// - 1;
// link_index++) {
// model.constraint(model.contains(sequence, link_index) ==
// model.contains(sequence, link_index + 1));
// model.constraint(model.indexOf(sequence, link_index) <=
// model.indexOf(sequence, link_index + 1));
// }
// } else if (relation.type() == "Sequence") {
// break;
// } else if (relation.type() == "Shipment") {
// break;
// } else {
// std::cout << "ERROR: Relation type (" << relation.type()
// << ") is not implemented" << std::endl;
// }
// }
k++;
}
// std::vector<std::pair<int, int>> pairs;
// Total vehicles used :
nbVehiclesUsed = model.sum(vehiclesUsed.begin(), vehiclesUsed.end());
// Total distance traveled :
LSExpression totalDuration;
totalDuration = model.sum(endTimes.begin(), endTimes.end());
// totalDuration.setName("totalDuration");
// routeDistances.end());
model.minimize(nbVehiclesUsed);
model.minimize(totalDuration);
model.close();
localsolver.getParam().setTimeLimit(3);
// With ls a LocalSolver object
auto iis = localsolver.computeInconsistency();
std::cout << iis.toString() << std::endl;
localsolver.solve();
// cout << totalDuration.getValue() << endl;
for (int v = 0; v < problem.vehicles_size(); v++) {
if (vehiclesUsed[v].getValue() != 1)
continue;
cout << servicesSequences[v].getCollectionValue().toString() << endl;
cout << "total duration = " << totalDuration.getValue() << endl;
}
}
};
int main(int argc, char** argv) {
// MyCallback cb;
GOOGLE_PROTOBUF_VERIFY_VERSION;
gflags::ParseCommandLineFlags(&argc, &argv, true);
localsolver_vrp::Problem problem;
const std::string filename = absl::GetFlag(FLAGS_instance_file);
std::fstream input(filename, ios::in | ios::binary);
if (!problem.ParseFromIstream(&input)) {
cout << "Failed to parse pbf." << endl;
}
for (auto vehicle : problem.vehicles()) {
vehicle.PrintDebugString();
}
for (auto matrix : problem.matrices()) {
for (int i = 0; i < sqrt(matrix.time_size()); i++) {
for (int j = 0; j < sqrt(matrix.time_size()); j++) {
cout << matrix.time(i * sqrt(matrix.time_size()) + j);
}
cout << endl;
}
}
for (auto service : problem.services()) {
cout << "duration of service " << service.id() << " : " << service.duration() << endl;
}
localsolver_VRP model(problem);
model.createModel();
//=================================================================
//=================================================================
gflags::ShutDownCommandLineFlags();
return 0;
}
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstddef>
#include <fstream>
#include <iomanip>
#include <lsarray.h>
#include <lscollection.h>
#include <lsexpression.h>
#include <lssolution.h>
#include <ostream>
#include <stdexcept>
#include <string>
#include <typeinfo>
#include <vector>
#include "./localsolver_result.pb.h"
#include "./localsolver_vrp.pb.h"
#include "localsolver.h"
#include "ortools/base/commandlineflags.h"
#define CUSTOM_MAX_INT (int64) std::pow(2, 30)
DEFINE_string(solution_file, "", "solution file name ");
DEFINE_string(instance_file, "", "instance file name or data");
using namespace localsolver;
using namespace google::protobuf;
using namespace std;
DEFINE_int64(time_limit_in_ms, 1000, "Time limit in ms, no option means no limit.");
DEFINE_int64(no_solution_improvement_limit, -1, "Iterations whitout improvement");
DEFINE_int64(minimum_duration, -1, "Initial time whitout improvement in ms");
DEFINE_int64(init_duration, -1, "Maximum duration to find a first solution");
DEFINE_int64(time_out_multiplier, 2, "Multiplier for the next time out");
DEFINE_int64(vehicle_limit, 0, "Define the maximum number of vehicle");
DEFINE_int64(solver_parameter, -1, "Force a particular behavior");
DEFINE_bool(only_first_solution, false, "Compute only the first solution");
DEFINE_bool(verification_only, false, "Only verify the suplied initial solution");
DEFINE_bool(balance, false, "Route balancing");
DEFINE_bool(nearby, false, "Short segment priority");
#ifdef DEBUG
DEFINE_bool(debug, true, "debug display");
#else
DEFINE_bool(debug, false, "debug display");
#endif
DEFINE_bool(intermediate_solutions, false, "display intermediate solutions");
DEFINE_string(routing_search_parameters,
"", /* An example of how we can override the default settings */
// "first_solution_strategy:ALL_UNPERFORMED"
// "local_search_operators {"
// " use_path_lns:BOOL_TRUE"
// " use_inactive_lns:BOOL_TRUE"
// "}",
"Text proto RoutingSearchParameters (possibly partial) that will "
"override the DefaultRoutingSearchParameters()");
class localsolver_VRP {
public:
const localsolver_vrp::Problem problem;
LocalSolver localsolver;
LSModel model;
vector<LSExpression> timeMatrices; // the matrices are reordered by service.matrix_index
vector<LSExpression>
distanceMatrices; // the matrices are reordered by service.matrix_index
LSExpression serviceTime;
LSExpression serviceLateMultiplier;
LSExpression serviceSetUpDuration;
LSExpression serviceQuantitiesMatrix;
LSExpression serviceExclusionCost;
LSExpression serviceMatrixIndex;
vector<LSExpression> serviceLatenessCost;
LSExpression vehicleStartIndicies;
LSExpression vehicleEndIndicies;
LSExpression vehicleCapacitiesMatrix;
map<string, int64> ids_map_;
vector<map<int, LSExpression>> timesFromWarehouses;
vector<map<int, LSExpression>> timesToWarehouses;
vector<map<int, LSExpression>> distanceFromWarehouses;
vector<map<int, LSExpression>> distanceToWarehouses;
LSExpression twStartsArray;
LSExpression twEndsArray;
LSExpression twAbsoluteEndsArray;
LSExpression nbTwsArray;
LSExpression waitNextTWArray;
vector<LSExpression> routeDuration;
vector<LSExpression> routeDistance;
vector<LSExpression> endTime;
vector<LSExpression> beginTime;
vector<LSExpression> arrivalTime;
vector<LSExpression> waitingTime;
vector<LSExpression> serviceStartsInTW;
vector<LSExpression> latenessCost;
vector<LSExpression> latenessCostOfServicesOfVehicle;
vector<LSExpression> excessLateness;
vector<int> allVehicleIndices;
// LSExpression nextStart(const LSExpression& service, const LSExpression& time) {
// LSExpression timeSelector = model.createLambdaFunction([&](LSExpression tw_index) {
// return model.iif(model.at(twAbsoluteEndsArray, service, tw_index) >= time,
// model.at(twStartsArray, service, tw_index),
// model.at(twAbsoluteEndsArray, service, nbTwsArray[service] -
// 1));
// });
// LSExpression earliestAvailableTime =
// model.iif(nbTwsArray[service] == 0, 0,
// model.min(model.range(0, nbTwsArray[service]), timeSelector));
// return model.max(time, earliestAvailableTime);
// }
LSExpression twEndSelect(const LSExpression& service, const LSExpression& time) {
LSExpression timeWindowSelector =
model.createLambdaFunction([&](LSExpression tw_index) {
return model.iif(model.at(twAbsoluteEndsArray, service, tw_index) >= time &&
model.at(twStartsArray, service, tw_index) <= time,
model.at(twEndsArray, service, tw_index),
model.at(twEndsArray, service, nbTwsArray[service] - 1));
});
return model.min(model.range(0, nbTwsArray[service]), timeWindowSelector);
}
LSExpression nextStart(const LSExpression& service, const LSExpression& time) {
LSExpression timeWindowSelector =
model.createLambdaFunction([&](LSExpression tw_index) {
LSExpression twDecisionAbsoluteEnd = model.iif(
waitNextTWArray[service], model.at(twAbsoluteEndsArray, service, tw_index),
model.at(twEndsArray, service, tw_index));
return model.iif(twDecisionAbsoluteEnd >= time,
model.at(twStartsArray, service, tw_index), time);
});
LSExpression earliestAvailableTime =
model.iif(nbTwsArray[service] == 0, 0,
model.min(model.range(0, nbTwsArray[service]), timeWindowSelector));
return model.max(time, earliestAvailableTime);
}
void RelationBuilder(LSExpression& sequenceVehicle, LSExpression& unassignedServices) {
for (const auto& relation : problem.relations()) {
if (relation.type() == "shipment") {
for (int link_index = 0; link_index < relation.linked_ids_size() - 1;
link_index++) {
LSExpression sameVehicleConstraint =
model.contains(sequenceVehicle, static_cast<lsint>(IdIndex(
relation.linked_ids(link_index)))) ==
model.contains(sequenceVehicle, static_cast<lsint>(IdIndex(
relation.linked_ids(link_index + 1))));
LSExpression precedenceConstraint =
model.indexOf(sequenceVehicle, static_cast<lsint>(IdIndex(
relation.linked_ids(link_index)))) <=
model.indexOf(sequenceVehicle, static_cast<lsint>(IdIndex(
relation.linked_ids(link_index + 1))));
model.constraint(sameVehicleConstraint);
model.constraint(precedenceConstraint);
sameVehicleConstraint.setName(
"same vehicle constraints for shipment relations");
precedenceConstraint.setName("precedence constraints for shipment relations");
}
}
if (relation.type() == "order") {
for (int link_index = 0; link_index < relation.linked_ids_size() - 1;
link_index++) {
LSExpression sequenceContainsCurrentService = model.contains(
sequenceVehicle,
static_cast<lsint>(IdIndex(relation.linked_ids(link_index))));
LSExpression sequenceContainsNextService = model.contains(
sequenceVehicle,
static_cast<lsint>(IdIndex(relation.linked_ids(link_index + 1))));
LSExpression nextIsNotAssigned = model.contains(
unassignedServices,
static_cast<lsint>(IdIndex(relation.linked_ids(link_index + 1))));
model.constraint(model.iif(sequenceContainsCurrentService,
sequenceContainsNextService || nextIsNotAssigned,
!sequenceContainsNextService));
model.constraint(model.iif(
sequenceContainsNextService,
model.indexOf(sequenceVehicle, static_cast<lsint>(IdIndex(
relation.linked_ids(link_index)))) <=
model.indexOf(
sequenceVehicle,
static_cast<lsint>(IdIndex(relation.linked_ids(link_index + 1)))),
true));
}
}
if (relation.type() == "sequence") {
for (int link_index = 0; link_index < relation.linked_ids_size() - 1;
link_index++) {
LSExpression sequenceContainsCurrentService = model.contains(
sequenceVehicle,
static_cast<lsint>(IdIndex(relation.linked_ids(link_index))));
LSExpression sequenceContainsNextService = model.contains(
sequenceVehicle,
static_cast<lsint>(IdIndex(relation.linked_ids(link_index + 1))));
LSExpression currentServiceIndexInSequence =
model.indexOf(sequenceVehicle,
static_cast<lsint>(IdIndex(relation.linked_ids(link_index))));
LSExpression nextServiceIndexInSequence = model.indexOf(
sequenceVehicle,
static_cast<lsint>(IdIndex(relation.linked_ids(link_index + 1))));
model.constraint(sequenceContainsCurrentService == sequenceContainsNextService);
model.constraint(model.iif(
sequenceContainsCurrentService,
currentServiceIndexInSequence + 1 == nextServiceIndexInSequence, true));
}
}
}
}
void capacityConstraintsOfVehicle(int k, LSExpression sequenceVehicle, LSExpression c) {
const localsolver_vrp::Vehicle& vehicle = problem.vehicles(k);
for (int unit = 0; unit < vehicle.capacities_size(); unit++) {
LSExpression quantityCumulator =
model.createLambdaFunction([&](LSExpression i, LSExpression prev) {
return model.max(
0, prev + model.at(serviceQuantitiesMatrix, sequenceVehicle[i], unit));
});
LSExpression routeQuantityUnit = model.array(model.range(0, c), quantityCumulator);
LSExpression quantityUnitChecker = model.createLambdaFunction([&](LSExpression i) {
return routeQuantityUnit[i] <= vehicle.capacities(unit).limit();
});
model.constraint(model.and_(model.range(0, c), quantityUnitChecker));
}
}
void MatrixBuilder(vector<LSExpression>& Matrices, const RepeatedField<float>& matrix) {
LSExpression Matrix(model.array());
int matrix_size = sqrt(matrix.size());
for (const auto& serviceFrom : problem.services()) {
vector<int> matrix_row;
matrix_row.reserve(matrix_size);
for (const auto& serviceTo : problem.services()) {
if (matrix.size() > 0) {
matrix_row.push_back(ceil(matrix.at(serviceFrom.matrix_index() * matrix_size +
serviceTo.matrix_index())));
} else {
matrix_row.push_back(0);
}
}
Matrix.addOperands(model.array(matrix_row.begin(), matrix_row.end()));
}
Matrices.push_back(Matrix);
}
int64 IdIndex(const string& id) const {
map<string, int64>::const_iterator it = ids_map_.find(id);
if (it != ids_map_.end())
return it->second;
else
return -1;
}
string IndexId(const int index) const {
for (auto it = ids_map_.begin(); it != ids_map_.end(); ++it) {
if (it->second == index) {
return it->first;
}
}
return "not found";
}
void setInitialSolution() {
std::unordered_set<string> initializedServiceIds;
for (const auto& route : problem.routes()) {
LSExpression listExpr =
localsolver.getModel().getExpression("sequence_" + route.vehicle_id());
LSCollection sequence = listExpr.getCollectionValue();
for (const auto& service_id : route.service_ids()) {
sequence.add(IdIndex(service_id));
initializedServiceIds.insert(service_id);
}
}
LSCollection sequenceUnassigned =
localsolver.getModel().getExpression("sequence_unassigned").getCollectionValue();
for (const auto& service : problem.services()) {
if (initializedServiceIds.count(service.id()) == 0)
sequenceUnassigned.add(IdIndex(service.id()));
}
if (problem.routes_size() > 0) {
LSExpression listExpr =
localsolver.getModel().getExpression("sequence_" + problem.vehicles(0).id());
cout << endl;
}
}
void ParseSolution(localsolver_result::Result* result,
const vector<LSExpression>& servicesSequence,
const LSExpression totalDuration,
const vector<LSExpression> vehicleUsed,
const vector<LSExpression>& latenessOfVehicle, long nbOfIterations) {
result->clear_routes();
for (int route_index = 0; route_index < problem.vehicles_size(); route_index++) {
if (vehicleUsed[route_index].getValue()) {
LSCollection servicesCollection =
servicesSequence[route_index].getCollectionValue();
LSArray beginTimeArray = beginTime[route_index].getArrayValue();
LSArray arrivalTimeArray = arrivalTime[route_index].getArrayValue();
LSArray endTimeArray = endTime[route_index].getArrayValue();
LSArray latenessServicesOfVehicleArray =
latenessCostOfServicesOfVehicle[route_index].getArrayValue();
LSArray timeToWareHouseArray =
timesToWarehouses[problem.vehicles(route_index).matrix_index()]
[problem.vehicles(route_index).end_index()]
.getArrayValue();
LSArray timeFromWareHouseArray =
timesFromWarehouses[problem.vehicles(route_index).matrix_index()]
[problem.vehicles(route_index).start_index()]
.getArrayValue();
// LSArray distanceToWareHouseArray =
// distanceToWarehouses[problem.vehicles(route_index).matrix_index()]
// [problem.vehicles(route_index).end_index()]
// .getArrayValue();
// LSArray distanceFromWareHouseArray =
// distanceFromWarehouses[problem.vehicles(route_index).matrix_index()]
// [problem.vehicles(route_index).start_index()]
// .getArrayValue();
localsolver_result::Route* route = result->add_routes();
if (problem.vehicles(route_index).start_index() != -1) {
localsolver_result::Activity* start_route = route->add_activities();
start_route->set_type("start");
start_route->set_index(-1);
start_route->set_start_time(
arrivalTimeArray.getIntValue(0) -
timeFromWareHouseArray.getIntValue(servicesCollection[0]));
}
for (int activity_index = 0; activity_index < servicesCollection.count();
activity_index++) {
localsolver_result::Activity* activity = route->add_activities();
activity->set_type("service");
activity->set_id(IndexId(servicesCollection[activity_index]));
activity->set_index(
problem.services(servicesCollection[activity_index]).problem_index());
activity->set_start_time(beginTimeArray.getIntValue(activity_index));
activity->set_lateness(
latenessServicesOfVehicleArray.getIntValue(activity_index));
int quantity_index = 0;
for (auto const& quantity :
problem.services(servicesCollection[activity_index]).quantities()) {
activity->add_quantities(quantity);
quantity_index++;
}
}
auto route_costs = route->mutable_cost_details();
// route_costs->set_time(routeDuration[route_index].getValue());
route_costs->set_fixed(problem.vehicles(route_index).cost_fixed());
route_costs->set_time(routeDuration[route_index].getValue());
route_costs->set_distance(routeDistance[route_index].getValue());
if (problem.vehicles(route_index).end_index() != -1) {
localsolver_result::Activity* end_route = route->add_activities();
end_route->set_type("end");
end_route->set_index(-1);
end_route->set_start_time(
endTimeArray.getIntValue(servicesCollection.count() - 1) +
timeToWareHouseArray.getIntValue(
servicesCollection[servicesCollection.count() - 1]));
}
}
}
result->set_duration(totalDuration.getValue());
result->set_iterations(nbOfIterations);
}
// Constructor
localsolver_VRP(localsolver_vrp::Problem& pb)
: problem(pb)
, localsolver()
, model(localsolver.getModel())
, timeMatrices(0, model.array())
, distanceMatrices(0, model.array())
, serviceQuantitiesMatrix(model.array())
, vehicleCapacitiesMatrix(model.array())
, twStartsArray(model.array())
, twEndsArray(model.array())
, twAbsoluteEndsArray(model.array())
, waitNextTWArray(model.array())
, routeDuration(problem.vehicles_size())
, routeDistance(problem.vehicles_size())
, endTime(problem.vehicles_size())
, beginTime(problem.vehicles_size())
, arrivalTime(problem.vehicles_size())
, waitingTime(problem.vehicles_size())
, serviceStartsInTW(problem.vehicles_size())
, latenessCost(problem.vehicles_size())
, latenessCostOfServicesOfVehicle(problem.vehicles_size())
, excessLateness(problem.vehicles_size()) {
for (const auto& matrix : problem.matrices()) {
MatrixBuilder(timeMatrices, matrix.time());
MatrixBuilder(distanceMatrices, matrix.distance());
}
vector<int> vehicleStartIndiciesVec;
vector<int> vehicleEndIndiciesVec;
vector<vector<float>> vehicleCapacitiesMatrixVec;
int k = 0;
timesFromWarehouses.resize(problem.matrices_size());
timesToWarehouses.resize(problem.matrices_size());
distanceFromWarehouses.resize(problem.matrices_size());
distanceToWarehouses.resize(problem.matrices_size());
for (const auto& vehicle : problem.vehicles()) {
int time_matrix_size = sqrt(problem.matrices(vehicle.matrix_index()).time_size());
int distance_matrix_size =
sqrt(problem.matrices(vehicle.matrix_index()).distance_size());
map<int, LSExpression>& vehicleStartMapTime =
timesFromWarehouses[vehicle.matrix_index()];
map<int, LSExpression>& vehicleStartMapDistance =
distanceFromWarehouses[vehicle.matrix_index()];
if (vehicleStartMapTime.find(vehicle.start_index()) == vehicleStartMapTime.end()) {
vector<int> timesFromWarehouse;
timesFromWarehouse.reserve(problem.services_size());
if (vehicle.start_index() > -1) {
if (problem.matrices(vehicle.matrix_index()).time().size() > 0) {
for (const auto& service : problem.services()) {
timesFromWarehouse.push_back(
problem.matrices(vehicle.matrix_index())
.time(vehicle.start_index() * time_matrix_size +
service.matrix_index()));
}
} else {
for (const auto& service : problem.services()) {
timesFromWarehouse.push_back(0);
}
}
} else {
timesFromWarehouse.resize(problem.services_size());
fill_n(timesFromWarehouse.begin(), problem.services_size(), 0);
}
vehicleStartMapTime[vehicle.start_index()] =
model.array(timesFromWarehouse.begin(), timesFromWarehouse.end());
}
if (vehicleStartMapDistance.find(vehicle.start_index()) ==
vehicleStartMapDistance.end()) {
vector<int> distanceFromWarehouse;
distanceFromWarehouse.reserve(problem.services_size());
if (vehicle.start_index() > -1) {
if (problem.matrices(vehicle.matrix_index()).distance().size() > 0) {
for (const auto& service : problem.services()) {
distanceFromWarehouse.push_back(
problem.matrices(vehicle.matrix_index())
.distance(vehicle.start_index() * distance_matrix_size +
service.matrix_index()));
}
} else {
for (const auto& service : problem.services()) {
distanceFromWarehouse.push_back(0);
}
}
} else {
distanceFromWarehouse.resize(problem.services_size());
fill_n(distanceFromWarehouse.begin(), problem.services_size(), 0);
}
vehicleStartMapDistance[vehicle.start_index()] =
model.array(distanceFromWarehouse.begin(), distanceFromWarehouse.end());
}
map<int, LSExpression>& vehicleEndMapTime =
timesToWarehouses[vehicle.matrix_index()];
if (vehicleEndMapTime.find(vehicle.end_index()) == vehicleEndMapTime.end()) {
vector<int> timesToWarehouse;
timesToWarehouse.reserve(problem.services_size());
if (vehicle.end_index() > -1) {
if (problem.matrices(vehicle.matrix_index()).time().size() > 0) {
for (const auto& service : problem.services()) {
timesToWarehouse.push_back(
problem.matrices(vehicle.matrix_index())
.time(service.matrix_index() * time_matrix_size +
vehicle.end_index()));
}
} else {
for (const auto& service : problem.services()) {
timesToWarehouse.push_back(0);
}
}
} else {
timesToWarehouse.resize(problem.services_size());
fill_n(timesToWarehouse.begin(), problem.services_size(), 0);
}
vehicleEndMapTime[vehicle.end_index()] =
model.array(timesToWarehouse.begin(), timesToWarehouse.end());
}
map<int, LSExpression>& vehicleEndMapTimeDistance =
distanceToWarehouses[vehicle.matrix_index()];
if (vehicleEndMapTimeDistance.find(vehicle.end_index()) ==
vehicleEndMapTimeDistance.end()) {
vector<int> distanceToWarehouse;
distanceToWarehouse.reserve(problem.services_size());
if (vehicle.end_index() > -1) {
if (problem.matrices(vehicle.matrix_index()).distance().size() > 0) {
for (const auto& service : problem.services()) {
distanceToWarehouse.push_back(
problem.matrices(vehicle.matrix_index())
.distance(service.matrix_index() * distance_matrix_size +
vehicle.end_index()));
}
} else {
for (const auto& service : problem.services()) {
distanceToWarehouse.push_back(0);
}
}
} else {
distanceToWarehouse.resize(problem.services_size());
fill_n(distanceToWarehouse.begin(), problem.services_size(), 0);
}
vehicleEndMapTimeDistance[vehicle.end_index()] =
model.array(distanceToWarehouse.begin(), distanceToWarehouse.end());
}
// cout << vehicle.id() << " " <<
// vehicleStartMapTime[vehicle.start_index()].toString()
// << endl;
// cout << vehicle.id() << " " << vehicleEndMapTime[vehicle.end_index()].toString()
// << endl;
int matrix_size =
max(sqrt(problem.matrices(vehicle.matrix_index()).time_size()),
sqrt(problem.matrices(vehicle.matrix_index()).distance_size()));
if (vehicle.start_index() == -1) {
vehicleStartIndiciesVec.push_back(matrix_size);
} else {
vehicleStartIndiciesVec.push_back(vehicle.start_index());
}
if (vehicle.end_index() == -1) {
vehicleEndIndiciesVec.push_back(matrix_size);
} else {
vehicleEndIndiciesVec.push_back(vehicle.end_index());
}
vector<float> capacityUnit;
vehicleCapacitiesMatrixVec.push_back(capacityUnit);
for (int unit_i = 0; unit_i < vehicle.capacities_size(); unit_i++) {
vehicleCapacitiesMatrixVec[k].push_back(vehicle.capacities(unit_i).limit());
}
vehicleCapacitiesMatrix.addOperand(model.array(
vehicleCapacitiesMatrixVec[k].begin(), vehicleCapacitiesMatrixVec[k].end()));
k++;
}
vehicleStartIndicies =
model.array(vehicleStartIndiciesVec.begin(), vehicleStartIndiciesVec.end());
vehicleEndIndicies =
model.array(vehicleEndIndiciesVec.begin(), vehicleEndIndiciesVec.end());
vector<int> serviceTimeVec;
vector<int> serviceLateMultiplierVec;
vector<int> serviceSetUpDurationVec;
vector<vector<float>> serviceQuantitiesVec;
vector<float> serviceExclusionCostVec;
vector<int> serviceMatrixIndexVec;
vector<int> nbTWsVec;
int s = 0;
for (const auto& service : problem.services()) {
serviceMatrixIndexVec.push_back(service.matrix_index());
waitNextTWArray.addOperand(model.boolVar());
serviceTimeVec.push_back(service.duration());
serviceLateMultiplierVec.push_back(service.late_multiplier());
serviceSetUpDurationVec.push_back(service.setup_duration());
vector<float> serviceQuantityUnit;
serviceQuantitiesVec.push_back(serviceQuantityUnit);
for (int unit_i = 0; unit_i < service.quantities_size(); unit_i++) {
serviceQuantitiesVec[s].push_back(service.quantities(unit_i));
}
serviceQuantitiesMatrix.addOperand(
model.array(serviceQuantitiesVec[s].begin(), serviceQuantitiesVec[s].end()));
if (service.exclusion_cost() > 0) {
serviceExclusionCostVec.push_back(service.exclusion_cost());
} else {
serviceExclusionCostVec.push_back(1e6);
}
vector<int> serviceTWStarts;
vector<int> serviceTWEnds;
vector<int> serviceTWAbsoluteEnds;
if (service.time_windows_size() > 0) {
for (const auto& tw : service.time_windows()) {
serviceTWStarts.push_back(tw.start());
serviceTWEnds.push_back(tw.end());
if (service.late_multiplier() > 0) {
serviceTWAbsoluteEnds.push_back(tw.end() + tw.maximum_lateness());
} else {
serviceTWAbsoluteEnds.push_back(tw.end());
}