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Problem when providing pair of pickup and delivery indices

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#63 0 comentarios 0 reacciones 0 asignados Ver en GitHub

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Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
35/100
Tipo de issue
Error
Claridad
Bastante claro
Estado de actividad
Estancado
Stack tecnológico
cpp, javascript, node.js
Área
backend

Línea de trabajo

Comienza con node-or-tools/test/vrp.js, reproduce el fallo usando los pickups, deliveries, routeLocks y time windows mostrados, y sigue el punto de entrada de VRP.Solve hasta el binding. Compara el caso que falla con el mismo ejemplo sin índices de pickup y delivery. Se considera terminado cuando el ejemplo devuelve un orden de rutas válido sin informar de "Unable to find a solution".

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

Hey,

There is this issue where providing a pair of pickup and delivery indices would lead to this error message: Unable to find a solution

Expected Behavior

It should return a valid route order based on cost array.

Current Behavior

Returns Unable to find a solution

Steps to Reproduce

  1. Copy node-or-tools/test/vrp.js file content to a new file
  2. Remove all assertions
  3. Add a pair of pickup and delivery indices in searchOpts.
   pickups: [4, 7],
   deliveries: [7, 10]

Context (Environment)

I have a pair of pickup and delivery indices and I want to visit one or more stops before visiting others.

This is my code snippet. You could see that if we remove the pickup and delivery indices, the code will work but after adding aforementioned indices, it returns Unable to find a solution

module.exports = () => {
  const ortools = require('node_or_tools')
  var locations = [
    [0, 0], [0, 1], [0, 2], [0, 3],
    [1, 0], [1, 1], [1, 2], [1, 3],
    [2, 0], [2, 1], [2, 2], [2, 3],
    [3, 0], [3, 1], [3, 2], [3, 3]]

  var depot = 0

  function manhattanDistance(lhs, rhs) {
    return Math.abs(lhs[0] - rhs[0]) + Math.abs(lhs[1] - rhs[1])
  }

  var costMatrix = new Array(locations.length)

  for (var from = 0; from < locations.length; ++from) {
    costMatrix[from] = new Array(locations.length)

    for (var to = 0; to < locations.length; ++to) {
      costMatrix[from][to] = manhattanDistance(locations[from], locations[to])
    }
  }

  var dayStarts = Hours(0)
  var dayEnds = Hours(3)


  var seed = 2147483650

  function ParkMillerRNG(seed) {
    var modulus = 2147483647
    var multiplier = 48271
    var increment = 0
    var state = seed

    return function() {
      state = (multiplier * state + increment) % modulus
      return state / modulus
    }
  }

  var rand = ParkMillerRNG(seed)


  function Seconds(v) {
    return v
  }

  function Minutes(v) {
    return Seconds(v * 60)
  }

  function Hours(v) {
    return Minutes(v * 60)
  }


  var durationMatrix = new Array(locations.length)

  for (var from = 0; from < locations.length; ++from) {
    durationMatrix[from] = new Array(locations.length)

    for (var to = 0; to < locations.length; ++to) {
      var serviceTime = Minutes(3)
      var travelTime = Minutes(costMatrix[from][to])

      durationMatrix[from][to] = serviceTime + travelTime
    }
  }


  var timeWindows = new Array(locations.length)

  for (var at = 0; at < locations.length; ++at) {
    if (at === depot) {
      timeWindows[at] = [dayStarts, dayEnds]
      continue
    }

    var earliest = dayStarts
    var latest = dayEnds - Hours(1)

    var start = rand() * (latest - earliest) + earliest
    var stop = rand() * (latest - start) + start

    timeWindows[at] = [start, stop]
  }


  var demandMatrix = new Array(locations.length)

  for (var from = 0; from < locations.length; ++from) {
    demandMatrix[from] = new Array(locations.length)

    for (var to = 0; to < locations.length; ++to) {
      if (from === depot)
        demandMatrix[from][to] = 0
      else
        demandMatrix[from][to] = 1
    }
  }


  var solverOpts = {
    numNodes: locations.length,
    costs: costMatrix,
    durations: durationMatrix,
    timeWindows: timeWindows,
    demands: demandMatrix
  }

  var VRP = new ortools.VRP(solverOpts)

  var numVehicles = 10
  var timeHorizon = dayEnds - dayStarts
  var vehicleCapacity = 10

// Dummy lock to let vehicle 0 go to location 2 and 3 first - to test route locks
  var routeLocks = new Array(numVehicles)

  for (var vehicle = 0; vehicle < numVehicles; ++vehicle) {
    if (vehicle === 0)
      routeLocks[vehicle] = [2, 3]
    else
      routeLocks[vehicle] = []
  }

  var searchOpts = {
    computeTimeLimit: 1000,
    numVehicles: numVehicles,
    depotNode: depot,
    timeHorizon: timeHorizon,
    vehicleCapacity: vehicleCapacity,
    routeLocks: routeLocks,
    pickups: [4, 7],
    deliveries: [7, 10]
  }

  VRP.Solve(searchOpts, function(err, solution) {


    console.log('**********************')
    console.log(err,solution)
    console.log('**********************')
    function used(v) {
      return v.length == 0 ? 0 : 1
    }

    function addition(l, r) {
      return l + r
    }

    var numVehiclesUsed = solution.routes.map(used).reduce(addition, 0)


    function checkRoute(v) {
      var depotInRoute = v.find(function(u) {
        return u == depot
      })
    }

    function checkTimeWindows(v) {
      v.forEach(function(u) {
      })
    }

    solution.routes.forEach(checkRoute)
    solution.times.forEach(checkTimeWindows)

  })

}

Lenguaje dominante
C++
Estrellas
155
Forks
47
Métricas de merge de PR
Sin PR fusionados en 30 d

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