Examples of rinde.sim.pdptw.central.arrays.RandomMVArraysSolver

rinde.sim.pdptw.central.arrays.RandomMVArraysSolver
This is a random implementation of {@link MultiVehicleArraysSolver} thatshould be used for testing only. It is not perfectly random, it is a 'lazy' implementation that creates feasible solutions but two solutions do not necessary have an equal or non-zero probability. @author Rinde van Lon

   * @param timeUnit The time unit to use for the underlying
   *          {@link RandomMVArraysSolver}.
   * @param seed The seed to use for the {@link RandomMVArraysSolver}.
   */
  public DebugSolverCreator(long seed, Unit<Duration> timeUnit) {
    this(new RandomMVArraysSolver(new MersenneTwister(seed)), timeUnit);
  }

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        .useParcels(ImmutableSet.<DefaultParcel> of())
        .noCurrentRoutes());
    assertEquals(1, sc.state.availableParcels.size());
    assertEquals(0, sc.state.vehicles.get(0).contents.size());
    final Solver solver = SolverValidator.wrap(new MultiVehicleSolverAdapter(
        new RandomMVArraysSolver(new MersenneTwister(123)), NonSI.MINUTE));
    Solvers.solverBuilder(solver).with(mp).with(simAPI).build().solve(sc);


    // give enough time to reach destination
    rm.moveTo(v1, destination, TimeLapseFactory.create(0, 1000000000));
    assertEquals(rm.getPosition(destination), rm.getPosition(v1));

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    final SupplierRng<Solver> s = new SupplierRng<Solver>() {
      @Override
      public Solver get(long seed) {
        return SolverValidator.wrap(new MultiVehicleSolverAdapter(
            ArraysSolverValidator.wrap(new RandomMVArraysSolver(
                new MersenneTwister(seed))), scenario.getTimeUnit()));
      }
    };
    final Experiment.Builder builder = Experiment
        .build(new Gendreau06ObjectiveFunction()) //

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Related Classes of rinde.sim.pdptw.central.arrays.RandomMVArraysSolver

org.apache.commons.math3.random.MersenneTwister

rinde.sim.pdptw.central.CentralTest

rinde.sim.pdptw.central.DebugSolverCreator

rinde.sim.pdptw.central.SolversTest

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