cumulative_energy.h

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// Copyright 2010-2021 Google LLC
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
 
#ifndef OR_TOOLS_SAT_CUMULATIVE_ENERGY_H_
#define OR_TOOLS_SAT_CUMULATIVE_ENERGY_H_
 
#include <functional>
#include <vector>
 
#include "ortools/sat/integer.h"
#include "ortools/sat/intervals.h"
#include "ortools/sat/model.h"
#include "ortools/sat/theta_tree.h"
 
namespace operations_research {
namespace sat {
 
// Enforces the existence of a preemptive schedule where every task is executed
// inside its interval, using energy units of the resource during execution.
//
// All energy expression are assumed to take a non-negative value;
// if the energy of a task is 0, the task can run anywhere.
// The schedule never uses more than capacity units of energy at a given time.
//
// This is mathematically equivalent to making a model with energy(task)
// different tasks with demand and size 1, but is much more efficient,
// since it uses O(|tasks|) variables instead of O(sum_{task} |energy(task)|).
void AddCumulativeEnergyConstraint(std::vector<AffineExpression> energies,
                                   AffineExpression capacity,
                                   SchedulingConstraintHelper* helper,
                                   Model* model);
 
// Creates a CumulativeEnergyConstraint where the energy of each interval is
// the product of the demands times its size.
//
// TODO(user): This is not ideal if both size and demands are variable.
void AddCumulativeOverloadChecker(const std::vector<AffineExpression>& demands,
                                  AffineExpression capacity,
                                  SchedulingConstraintHelper* helper,
                                  Model* model);
 
// Implementation of AddCumulativeEnergyConstraint().
class CumulativeEnergyConstraint : public PropagatorInterface {
 public:
  CumulativeEnergyConstraint(std::vector<AffineExpression> energies,
                             AffineExpression capacity,
                             IntegerTrail* integer_trail,
                             SchedulingConstraintHelper* helper);
  bool Propagate() final;
  void RegisterWith(GenericLiteralWatcher* watcher);
 
 private:
  const std::vector<AffineExpression> energies_;
  const AffineExpression capacity_;
  IntegerTrail* integer_trail_;
  SchedulingConstraintHelper* helper_;
  ThetaLambdaTree<IntegerValue> theta_tree_;
 
  // Task characteristics.
  std::vector<int> task_to_start_event_;
 
  // Start event characteristics, by nondecreasing start time.
  std::vector<TaskTime> start_event_task_time_;
  std::vector<bool> start_event_is_present_;
};
 
// Given that the "tasks" are part of a cumulative constraint, this adds a
// constraint that propagate the fact that: var >= max(end of substasks) +
// offset.
//
// TODO(user): I am not sure this is the best way, but it does at least push
// the level zero bound on the large cumulative instances.
class CumulativeIsAfterSubsetConstraint : public PropagatorInterface {
 public:
  CumulativeIsAfterSubsetConstraint(IntegerVariable var, IntegerValue offset,
                                    AffineExpression capacity,
                                    const std::vector<AffineExpression> demands,
                                    const std::vector<int> subtasks,
                                    IntegerTrail* integer_trail,
                                    SchedulingConstraintHelper* helper);
 
  bool Propagate() final;
  void RegisterWith(GenericLiteralWatcher* watcher);
 
 private:
  const IntegerVariable var_to_push_;
  const IntegerValue offset_;
  const AffineExpression capacity_;
  const std::vector<AffineExpression> demands_;
  const std::vector<int> subtasks_;
 
  // Computed at construction time, this is const.
  std::vector<bool> is_in_subtasks_;
 
  IntegerTrail* integer_trail_;
  SchedulingConstraintHelper* helper_;
};
 
}  // namespace sat
}  // namespace operations_research
 
#endif  // OR_TOOLS_SAT_CUMULATIVE_ENERGY_H_