lemon/csp.h
author deba
Thu, 27 Dec 2007 13:40:16 +0000
changeset 2547 f393a8162688
parent 2486 0c498f2239a8
child 2553 bfced05fa852
permissions -rw-r--r--
Renaming state_enum to State
Removing "Type" suffix from typedefs
Moving implementation into the class definition
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/* -*- C++ -*-
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 *
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 * This file is a part of LEMON, a generic C++ optimization library
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 *
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 * Copyright (C) 2003-2007
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 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
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 * (Egervary Research Group on Combinatorial Optimization, EGRES).
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 *
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 * Permission to use, modify and distribute this software is granted
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 * provided that this copyright notice appears in all copies. For
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 * precise terms see the accompanying LICENSE file.
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 *
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 * This software is provided "AS IS" with no warranty of any kind,
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 * express or implied, and with no claim as to its suitability for any
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 * purpose.
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 *
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 */
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#ifndef LEMON_CSP_H
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#define LEMON_CSP_H
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///\ingroup approx
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///\file
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///\brief Algorithm for the Resource Constrained Shortest Path problem.
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///
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#include <lemon/list_graph.h>
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#include <lemon/graph_utils.h>
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#include <lemon/error.h>
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#include <lemon/maps.h>
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#include <lemon/tolerance.h>
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#include <lemon/dijkstra.h>
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#include <lemon/path.h>
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#include <lemon/counter.h>
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namespace lemon {
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  ///\ingroup approx
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  ///
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  ///\brief Algorithms for the Resource Constrained Shortest Path Problem
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  ///
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  ///The Resource Constrained Shortest (Least Cost) Path problem is the
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  ///following. We are given a directed graph with two additive weightings
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  ///on the edges, referred as \e cost and \e delay. In addition,
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  ///a source and a destination node \e s and \e t and a delay
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  ///constraint \e D is given. A path \e p is called \e feasible
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  ///if <em>delay(p)\<=D</em>. Then, the task is to find the least cost
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  ///feasible path.
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  ///
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  template<class Graph,
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	   class CM=typename Graph:: template EdgeMap<double>,
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	   class DM=CM>
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  class ConstrainedShortestPath 
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  {
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  public:
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    GRAPH_TYPEDEFS(typename Graph);
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    typedef SimplePath<Graph> Path;
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  private:
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    const Graph &_g;
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    Tolerance<double> tol;
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    const CM &_cost;
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    const DM &_delay;
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    class CoMap 
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    {
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      const CM &_cost;
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      const DM &_delay;
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      double _lambda;
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    public:
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      typedef typename CM::Key Key;
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      typedef double Value;
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      CoMap(const CM &c, const DM &d) :_cost(c), _delay(d), _lambda(0) {}
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      double lambda() const { return _lambda; }
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      void lambda(double l)  { _lambda=l; }
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      Value operator[](Key &e) const 
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      {
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	return _cost[e]+_lambda*_delay[e];
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      }
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    };
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    CoMap _co_map;
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    Dijkstra<Graph, CoMap> _dij;
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  public:
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    /// \brief Constructor
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    ///Constructor
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    ///
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    ConstrainedShortestPath(const Graph &g, const CM &ct, const DM &dl)
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      : _g(g), _cost(ct), _delay(dl),
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	_co_map(ct, dl), _dij(_g,_co_map) {}
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    ///Compute the cost of a path
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    double cost(const Path &p) const
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    {
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      double s=0;
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      //      Path r;  
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      for(typename Path::EdgeIt e(p);e!=INVALID;++e) s+=_cost[e];
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      return s;
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    }
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    ///Compute the delay of a path
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    double delay(const Path &p) const
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    {
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      double s=0;
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      for(typename Path::EdgeIt e(p);e!=INVALID;++e) s+=_delay[e];
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      return s;
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    }
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    ///Runs the LARAC algorithm
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    ///This function runs a Lagrange relaxation based heuristic to find
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    ///a delay constrained least cost path.
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    ///\param s source node
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    ///\param t target node
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    ///\param delta upper bound on the delta
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    ///\retval lo_bo a lower bound on the optimal solution
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    ///\return the found path or an empty 
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    Path larac(Node s, Node t, double delta, double &lo_bo) 
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    {
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      double lambda=0;
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      double cp,cq,dp,dq,cr,dr;
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      Path p;
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      Path q;
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      Path r;
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      {
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	Dijkstra<Graph,CM> dij(_g,_cost);
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	dij.run(s,t);
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	if(!dij.reached(t)) return Path();
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	p=dij.path(t);
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	cp=cost(p);
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	dp=delay(p);
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      }
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      if(delay(p)<=delta) return p;
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      {
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	Dijkstra<Graph,DM> dij(_g,_delay);
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	dij.run(s,t);
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	q=dij.path(t);
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	cq=cost(q);
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	dq=delay(q);
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      }
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      if(delay(q)>delta) return Path();
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      while (true) {
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	lambda=(cp-cq)/(dq-dp);
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	_co_map.lambda(lambda);
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	_dij.run(s,t);
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	r=_dij.path(t);
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	cr=cost(r);
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	dr=delay(r);
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	if(!tol.less(cr+lambda*dr,cp+lambda*dp)) {
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	  lo_bo=cq+lambda*(dq-delta);
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	  return q;
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	}
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	else if(tol.less(dr,delta)) 
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	  {
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	    q=r;
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	    cq=cr;
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	    dq=dr;
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	  }
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	else if(tol.less(delta,dr))
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	  {
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	    p=r;
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	    cp=cr;
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	    dp=dr;
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	  }
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	else return r;
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      }
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    }
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  };
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} //END OF NAMESPACE LEMON
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#endif