การตั้งค่าขีดจำกัดของเครื่องมือแก้โจทย์

ส่วนต่อไปนี้จะอธิบายถึงวิธีจำกัดระยะเวลาของการค้นหาเครื่องมือแก้โจทย์ ของเรา

• ขีดจำกัดเวลา
• ขีดจำกัดของโซลูชัน

การจำกัดเวลาสำหรับเครื่องมือแก้โจทย์

หากโปรแกรมของคุณใช้เวลานานในการทำงาน เราขอแนะนำให้ตั้งค่าการจำกัดเวลาสำหรับ โปรแกรมแก้โจทย์ ซึ่งทำให้มั่นใจได้ว่าโปรแกรมจะสิ้นสุดภายในระยะเวลาที่เหมาะสม ตัวอย่างด้านล่างแสดงวิธีจำกัดเวลา 10 วินาทีสำหรับ เครื่องมือแก้โจทย์ปัญหา

Python

"""Solves a problem with a time limit."""

from ortools.sat.python import cp_model


def solve_with_time_limit_sample_sat():
    """Minimal CP-SAT example to showcase calling the solver."""
    # Creates the model.
    model = cp_model.CpModel()
    # Creates the variables.
    num_vals = 3
    x = model.new_int_var(0, num_vals - 1, "x")
    y = model.new_int_var(0, num_vals - 1, "y")
    z = model.new_int_var(0, num_vals - 1, "z")
    # Adds an all-different constraint.
    model.add(x != y)

    # Creates a solver and solves the model.
    solver = cp_model.CpSolver()

    # Sets a time limit of 10 seconds.
    solver.parameters.max_time_in_seconds = 10.0

    status = solver.solve(model)

    if status == cp_model.OPTIMAL:
        print(f"x = {solver.value(x)}")
        print(f"y = {solver.value(y)}")
        print(f"z = {solver.value(z)}")


solve_with_time_limit_sample_sat()

C++

#include <stdlib.h>

#include "ortools/base/logging.h"
#include "ortools/sat/cp_model.h"
#include "ortools/sat/cp_model.pb.h"
#include "ortools/sat/cp_model_solver.h"
#include "ortools/sat/model.h"
#include "ortools/sat/sat_parameters.pb.h"
#include "ortools/util/sorted_interval_list.h"

namespace operations_research {
namespace sat {

void SolveWithTimeLimitSampleSat() {
  CpModelBuilder cp_model;

  const Domain domain(0, 2);
  const IntVar x = cp_model.NewIntVar(domain).WithName("x");
  const IntVar y = cp_model.NewIntVar(domain).WithName("y");
  const IntVar z = cp_model.NewIntVar(domain).WithName("z");

  cp_model.AddNotEqual(x, y);

  // Solving part.
  Model model;

  // Sets a time limit of 10 seconds.
  SatParameters parameters;
  parameters.set_max_time_in_seconds(10.0);
  model.Add(NewSatParameters(parameters));

  // Solve.
  const CpSolverResponse response = SolveCpModel(cp_model.Build(), &model);
  LOG(INFO) << CpSolverResponseStats(response);

  if (response.status() == CpSolverStatus::OPTIMAL) {
    LOG(INFO) << "  x = " << SolutionIntegerValue(response, x);
    LOG(INFO) << "  y = " << SolutionIntegerValue(response, y);
    LOG(INFO) << "  z = " << SolutionIntegerValue(response, z);
  }
}

}  // namespace sat
}  // namespace operations_research

int main() {
  operations_research::sat::SolveWithTimeLimitSampleSat();

  return EXIT_SUCCESS;
}

Java

package com.google.ortools.sat.samples;

import com.google.ortools.Loader;
import com.google.ortools.sat.CpModel;
import com.google.ortools.sat.CpSolver;
import com.google.ortools.sat.CpSolverStatus;
import com.google.ortools.sat.IntVar;

/** Solves a problem with a time limit. */
public final class SolveWithTimeLimitSampleSat {
  public static void main(String[] args) {
    Loader.loadNativeLibraries();
    // Create the model.
    CpModel model = new CpModel();
    // Create the variables.
    int numVals = 3;

    IntVar x = model.newIntVar(0, numVals - 1, "x");
    IntVar y = model.newIntVar(0, numVals - 1, "y");
    IntVar z = model.newIntVar(0, numVals - 1, "z");
    // Create the constraint.
    model.addDifferent(x, y);

    // Create a solver and solve the model.
    CpSolver solver = new CpSolver();
    solver.getParameters().setMaxTimeInSeconds(10.0);
    CpSolverStatus status = solver.solve(model);

    if (status == CpSolverStatus.OPTIMAL) {
      System.out.println("x = " + solver.value(x));
      System.out.println("y = " + solver.value(y));
      System.out.println("z = " + solver.value(z));
    }
  }

  private SolveWithTimeLimitSampleSat() {}
}

C#

using System;
using Google.OrTools.Sat;

public class SolveWithTimeLimitSampleSat
{
    static void Main()
    {
        // Creates the model.
        CpModel model = new CpModel();
        // Creates the variables.
        int num_vals = 3;

        IntVar x = model.NewIntVar(0, num_vals - 1, "x");
        IntVar y = model.NewIntVar(0, num_vals - 1, "y");
        IntVar z = model.NewIntVar(0, num_vals - 1, "z");
        // Adds a different constraint.
        model.Add(x != y);

        // Creates a solver and solves the model.
        CpSolver solver = new CpSolver();

        // Adds a time limit. Parameters are stored as strings in the solver.
        solver.StringParameters = "max_time_in_seconds:10.0";

        CpSolverStatus status = solver.Solve(model);

        if (status == CpSolverStatus.Optimal)
        {
            Console.WriteLine("x = " + solver.Value(x));
            Console.WriteLine("y = " + solver.Value(y));
            Console.WriteLine("z = " + solver.Value(z));
        }
    }
}

การหยุดการค้นหาหลังจากจำนวนโซลูชันที่ระบุ

นอกจากการตั้งขีดจำกัดเวลาแล้ว คุณสามารถทำให้เครื่องมือแก้โจทย์สิ้นสุดการใช้งานได้ หลังจากพบวิธีแก้โจทย์จำนวนหนึ่งแล้ว ตัวอย่างด้านล่างแสดงให้เห็น วิธีหยุดการค้นหาหลังจากทำโซลูชัน 5 วิธี

Python

"""Code sample that solves a model and displays a small number of solutions."""

from ortools.sat.python import cp_model


class VarArraySolutionPrinterWithLimit(cp_model.CpSolverSolutionCallback):
    """Print intermediate solutions."""

    def __init__(self, variables: list[cp_model.IntVar], limit: int):
        cp_model.CpSolverSolutionCallback.__init__(self)
        self.__variables = variables
        self.__solution_count = 0
        self.__solution_limit = limit

    def on_solution_callback(self) -> None:
        self.__solution_count += 1
        for v in self.__variables:
            print(f"{v}={self.value(v)}", end=" ")
        print()
        if self.__solution_count >= self.__solution_limit:
            print(f"Stop search after {self.__solution_limit} solutions")
            self.stop_search()

    @property
    def solution_count(self) -> int:
        return self.__solution_count


def stop_after_n_solutions_sample_sat():
    """Showcases calling the solver to search for small number of solutions."""
    # Creates the model.
    model = cp_model.CpModel()
    # Creates the variables.
    num_vals = 3
    x = model.new_int_var(0, num_vals - 1, "x")
    y = model.new_int_var(0, num_vals - 1, "y")
    z = model.new_int_var(0, num_vals - 1, "z")

    # Create a solver and solve.
    solver = cp_model.CpSolver()
    solution_printer = VarArraySolutionPrinterWithLimit([x, y, z], 5)
    # Enumerate all solutions.
    solver.parameters.enumerate_all_solutions = True
    # Solve.
    status = solver.solve(model, solution_printer)
    print(f"Status = {solver.status_name(status)}")
    print(f"Number of solutions found: {solution_printer.solution_count}")
    assert solution_printer.solution_count == 5


stop_after_n_solutions_sample_sat()

C++

#include <stdlib.h>

#include <atomic>

#include "ortools/base/logging.h"
#include "ortools/sat/cp_model.h"
#include "ortools/sat/cp_model.pb.h"
#include "ortools/sat/cp_model_solver.h"
#include "ortools/sat/model.h"
#include "ortools/sat/sat_parameters.pb.h"
#include "ortools/util/sorted_interval_list.h"
#include "ortools/util/time_limit.h"

namespace operations_research {
namespace sat {

void StopAfterNSolutionsSampleSat() {
  CpModelBuilder cp_model;

  const Domain domain(0, 2);
  const IntVar x = cp_model.NewIntVar(domain).WithName("x");
  const IntVar y = cp_model.NewIntVar(domain).WithName("y");
  const IntVar z = cp_model.NewIntVar(domain).WithName("z");

  Model model;

  // Tell the solver to enumerate all solutions.
  SatParameters parameters;
  parameters.set_enumerate_all_solutions(true);
  model.Add(NewSatParameters(parameters));

  // Create an atomic Boolean that will be periodically checked by the limit.
  std::atomic<bool> stopped(false);
  model.GetOrCreate<TimeLimit>()->RegisterExternalBooleanAsLimit(&stopped);

  const int kSolutionLimit = 5;
  int num_solutions = 0;
  model.Add(NewFeasibleSolutionObserver([&](const CpSolverResponse& r) {
    LOG(INFO) << "Solution " << num_solutions;
    LOG(INFO) << "  x = " << SolutionIntegerValue(r, x);
    LOG(INFO) << "  y = " << SolutionIntegerValue(r, y);
    LOG(INFO) << "  z = " << SolutionIntegerValue(r, z);
    num_solutions++;
    if (num_solutions >= kSolutionLimit) {
      stopped = true;
      LOG(INFO) << "Stop search after " << kSolutionLimit << " solutions.";
    }
  }));
  const CpSolverResponse response = SolveCpModel(cp_model.Build(), &model);
  LOG(INFO) << "Number of solutions found: " << num_solutions;
  CHECK_EQ(num_solutions, kSolutionLimit);
}

}  // namespace sat
}  // namespace operations_research

int main() {
  operations_research::sat::StopAfterNSolutionsSampleSat();

  return EXIT_SUCCESS;
}

Java

package com.google.ortools.sat.samples;

import com.google.ortools.Loader;
import com.google.ortools.sat.CpModel;
import com.google.ortools.sat.CpSolver;
import com.google.ortools.sat.CpSolverSolutionCallback;
import com.google.ortools.sat.IntVar;

/** Code sample that solves a model and displays a small number of solutions. */
public final class StopAfterNSolutionsSampleSat {
  static class VarArraySolutionPrinterWithLimit extends CpSolverSolutionCallback {
    public VarArraySolutionPrinterWithLimit(IntVar[] variables, int limit) {
      variableArray = variables;
      solutionLimit = limit;
    }

    @Override
    public void onSolutionCallback() {
      System.out.printf("Solution #%d: time = %.02f s%n", solutionCount, wallTime());
      for (IntVar v : variableArray) {
        System.out.printf("  %s = %d%n", v.getName(), value(v));
      }
      solutionCount++;
      if (solutionCount >= solutionLimit) {
        System.out.printf("Stop search after %d solutions%n", solutionLimit);
        stopSearch();
      }
    }

    public int getSolutionCount() {
      return solutionCount;
    }

    private int solutionCount;
    private final IntVar[] variableArray;
    private final int solutionLimit;
  }

  public static void main(String[] args) {
    Loader.loadNativeLibraries();
    // Create the model.
    CpModel model = new CpModel();
    // Create the variables.
    int numVals = 3;

    IntVar x = model.newIntVar(0, numVals - 1, "x");
    IntVar y = model.newIntVar(0, numVals - 1, "y");
    IntVar z = model.newIntVar(0, numVals - 1, "z");

    // Create a solver and solve the model.
    CpSolver solver = new CpSolver();
    VarArraySolutionPrinterWithLimit cb =
        new VarArraySolutionPrinterWithLimit(new IntVar[] {x, y, z}, 5);
    // Tell the solver to enumerate all solutions.
    solver.getParameters().setEnumerateAllSolutions(true);
    // And solve.
    solver.solve(model, cb);

    System.out.println(cb.getSolutionCount() + " solutions found.");
    if (cb.getSolutionCount() != 5) {
      throw new RuntimeException("Did not stop the search correctly.");
    }
  }

  private StopAfterNSolutionsSampleSat() {}
}

C#

using System;
using Google.OrTools.Sat;

public class VarArraySolutionPrinterWithLimit : CpSolverSolutionCallback
{
    public VarArraySolutionPrinterWithLimit(IntVar[] variables, int solution_limit)
    {
        variables_ = variables;
        solution_limit_ = solution_limit;
    }

    public override void OnSolutionCallback()
    {
        Console.WriteLine(String.Format("Solution #{0}: time = {1:F2} s", solution_count_, WallTime()));
        foreach (IntVar v in variables_)
        {
            Console.WriteLine(String.Format("  {0} = {1}", v.ToString(), Value(v)));
        }
        solution_count_++;
        if (solution_count_ >= solution_limit_)
        {
            Console.WriteLine(String.Format("Stopping search after {0} solutions", solution_limit_));
            StopSearch();
        }
    }

    public int SolutionCount()
    {
        return solution_count_;
    }

    private int solution_count_;
    private IntVar[] variables_;
    private int solution_limit_;
}

public class StopAfterNSolutionsSampleSat
{
    static void Main()
    {
        // Creates the model.
        CpModel model = new CpModel();
        // Creates the variables.
        int num_vals = 3;

        IntVar x = model.NewIntVar(0, num_vals - 1, "x");
        IntVar y = model.NewIntVar(0, num_vals - 1, "y");
        IntVar z = model.NewIntVar(0, num_vals - 1, "z");

        // Creates a solver and solves the model.
        CpSolver solver = new CpSolver();
        VarArraySolutionPrinterWithLimit cb = new VarArraySolutionPrinterWithLimit(new IntVar[] { x, y, z }, 5);
        solver.StringParameters = "enumerate_all_solutions:true";
        solver.Solve(model, cb);
        Console.WriteLine(String.Format("Number of solutions found: {0}", cb.SolutionCount()));
    }
}