Location: LEMON/LEMON-official/test/min_cost_flow_test.cc

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kpeter (Peter Kovacs)
Support multiple run() calls in NetworkSimplex (#234)
/* -*- mode: C++; indent-tabs-mode: nil; -*-
*
* This file is a part of LEMON, a generic C++ optimization library.
*
* Copyright (C) 2003-2009
* Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
* (Egervary Research Group on Combinatorial Optimization, EGRES).
*
* Permission to use, modify and distribute this software is granted
* provided that this copyright notice appears in all copies. For
* precise terms see the accompanying LICENSE file.
*
* This software is provided "AS IS" with no warranty of any kind,
* express or implied, and with no claim as to its suitability for any
* purpose.
*
*/
#include <iostream>
#include <fstream>
#include <lemon/list_graph.h>
#include <lemon/lgf_reader.h>
#include <lemon/network_simplex.h>
#include <lemon/concepts/digraph.h>
#include <lemon/concept_check.h>
#include "test_tools.h"
using namespace lemon;
char test_lgf[] =
"@nodes\n"
"label sup1 sup2 sup3\n"
" 1 20 27 0\n"
" 2 -4 0 0\n"
" 3 0 0 0\n"
" 4 0 0 0\n"
" 5 9 0 0\n"
" 6 -6 0 0\n"
" 7 0 0 0\n"
" 8 0 0 0\n"
" 9 3 0 0\n"
" 10 -2 0 0\n"
" 11 0 0 0\n"
" 12 -20 -27 0\n"
"\n"
"@arcs\n"
" cost cap low1 low2\n"
" 1 2 70 11 0 8\n"
" 1 3 150 3 0 1\n"
" 1 4 80 15 0 2\n"
" 2 8 80 12 0 0\n"
" 3 5 140 5 0 3\n"
" 4 6 60 10 0 1\n"
" 4 7 80 2 0 0\n"
" 4 8 110 3 0 0\n"
" 5 7 60 14 0 0\n"
" 5 11 120 12 0 0\n"
" 6 3 0 3 0 0\n"
" 6 9 140 4 0 0\n"
" 6 10 90 8 0 0\n"
" 7 1 30 5 0 0\n"
" 8 12 60 16 0 4\n"
" 9 12 50 6 0 0\n"
"10 12 70 13 0 5\n"
"10 2 100 7 0 0\n"
"10 7 60 10 0 0\n"
"11 10 20 14 0 6\n"
"12 11 30 10 0 0\n"
"\n"
"@attributes\n"
"source 1\n"
"target 12\n";
// Check the interface of an MCF algorithm
template <typename GR, typename Value>
class McfClassConcept
{
public:
template <typename MCF>
struct Constraints {
void constraints() {
checkConcept<concepts::Digraph, GR>();
MCF mcf(g);
b = mcf.reset()
.lowerMap(lower)
.upperMap(upper)
.capacityMap(upper)
.boundMaps(lower, upper)
.costMap(cost)
.supplyMap(sup)
.stSupply(n, n, k)
.run();
const typename MCF::FlowMap &fm = mcf.flowMap();
const typename MCF::PotentialMap &pm = mcf.potentialMap();
v = mcf.totalCost();
double x = mcf.template totalCost<double>();
v = mcf.flow(a);
v = mcf.potential(n);
mcf.flowMap(flow);
mcf.potentialMap(pot);
ignore_unused_variable_warning(fm);
ignore_unused_variable_warning(pm);
ignore_unused_variable_warning(x);
}
typedef typename GR::Node Node;
typedef typename GR::Arc Arc;
typedef concepts::ReadMap<Node, Value> NM;
typedef concepts::ReadMap<Arc, Value> AM;
const GR &g;
const AM &lower;
const AM &upper;
const AM &cost;
const NM &sup;
const Node &n;
const Arc &a;
const Value &k;
Value v;
bool b;
typename MCF::FlowMap &flow;
typename MCF::PotentialMap &pot;
};
};
// Check the feasibility of the given flow (primal soluiton)
template < typename GR, typename LM, typename UM,
typename SM, typename FM >
bool checkFlow( const GR& gr, const LM& lower, const UM& upper,
const SM& supply, const FM& flow )
{
TEMPLATE_DIGRAPH_TYPEDEFS(GR);
for (ArcIt e(gr); e != INVALID; ++e) {
if (flow[e] < lower[e] || flow[e] > upper[e]) return false;
}
for (NodeIt n(gr); n != INVALID; ++n) {
typename SM::Value sum = 0;
for (OutArcIt e(gr, n); e != INVALID; ++e)
sum += flow[e];
for (InArcIt e(gr, n); e != INVALID; ++e)
sum -= flow[e];
if (sum != supply[n]) return false;
}
return true;
}
// Check the feasibility of the given potentials (dual soluiton)
// using the "Complementary Slackness" optimality condition
template < typename GR, typename LM, typename UM,
typename CM, typename FM, typename PM >
bool checkPotential( const GR& gr, const LM& lower, const UM& upper,
const CM& cost, const FM& flow, const PM& pi )
{
TEMPLATE_DIGRAPH_TYPEDEFS(GR);
bool opt = true;
for (ArcIt e(gr); opt && e != INVALID; ++e) {
typename CM::Value red_cost =
cost[e] + pi[gr.source(e)] - pi[gr.target(e)];
opt = red_cost == 0 ||
(red_cost > 0 && flow[e] == lower[e]) ||
(red_cost < 0 && flow[e] == upper[e]);
}
return opt;
}
// Run a minimum cost flow algorithm and check the results
template < typename MCF, typename GR,
typename LM, typename UM,
typename CM, typename SM >
void checkMcf( const MCF& mcf, bool mcf_result,
const GR& gr, const LM& lower, const UM& upper,
const CM& cost, const SM& supply,
bool result, typename CM::Value total,
const std::string &test_id = "" )
{
check(mcf_result == result, "Wrong result " + test_id);
if (result) {
check(checkFlow(gr, lower, upper, supply, mcf.flowMap()),
"The flow is not feasible " + test_id);
check(mcf.totalCost() == total, "The flow is not optimal " + test_id);
check(checkPotential(gr, lower, upper, cost, mcf.flowMap(),
mcf.potentialMap()),
"Wrong potentials " + test_id);
}
}
int main()
{
// Check the interfaces
{
typedef int Value;
// TODO: This typedef should be enabled if the standard maps are
// reference maps in the graph concepts (See #190).
/**/
//typedef concepts::Digraph GR;
typedef ListDigraph GR;
/**/
checkConcept< McfClassConcept<GR, Value>,
NetworkSimplex<GR, Value> >();
}
// Run various MCF tests
typedef ListDigraph Digraph;
DIGRAPH_TYPEDEFS(ListDigraph);
// Read the test digraph
Digraph gr;
Digraph::ArcMap<int> c(gr), l1(gr), l2(gr), u(gr);
Digraph::NodeMap<int> s1(gr), s2(gr), s3(gr);
ConstMap<Arc, int> cc(1), cu(std::numeric_limits<int>::max());
Node v, w;
std::istringstream input(test_lgf);
DigraphReader<Digraph>(gr, input)
.arcMap("cost", c)
.arcMap("cap", u)
.arcMap("low1", l1)
.arcMap("low2", l2)
.nodeMap("sup1", s1)
.nodeMap("sup2", s2)
.nodeMap("sup3", s3)
.node("source", v)
.node("target", w)
.run();
// A. Test NetworkSimplex with the default pivot rule
{
NetworkSimplex<Digraph> mcf(gr);
mcf.upperMap(u).costMap(c);
checkMcf(mcf, mcf.supplyMap(s1).run(),
gr, l1, u, c, s1, true, 5240, "#A1");
checkMcf(mcf, mcf.stSupply(v, w, 27).run(),
gr, l1, u, c, s2, true, 7620, "#A2");
mcf.lowerMap(l2);
checkMcf(mcf, mcf.supplyMap(s1).run(),
gr, l2, u, c, s1, true, 5970, "#A3");
checkMcf(mcf, mcf.stSupply(v, w, 27).run(),
gr, l2, u, c, s2, true, 8010, "#A4");
mcf.reset();
checkMcf(mcf, mcf.supplyMap(s1).run(),
gr, l1, cu, cc, s1, true, 74, "#A5");
checkMcf(mcf, mcf.lowerMap(l2).stSupply(v, w, 27).run(),
gr, l2, cu, cc, s2, true, 94, "#A6");
mcf.reset();
checkMcf(mcf, mcf.run(),
gr, l1, cu, cc, s3, true, 0, "#A7");
checkMcf(mcf, mcf.boundMaps(l2, u).run(),
gr, l2, u, cc, s3, false, 0, "#A8");
}
// B. Test NetworkSimplex with each pivot rule
{
NetworkSimplex<Digraph> mcf(gr);
mcf.supplyMap(s1).costMap(c).capacityMap(u).lowerMap(l2);
checkMcf(mcf, mcf.run(NetworkSimplex<Digraph>::FIRST_ELIGIBLE),
gr, l2, u, c, s1, true, 5970, "#B1");
checkMcf(mcf, mcf.run(NetworkSimplex<Digraph>::BEST_ELIGIBLE),
gr, l2, u, c, s1, true, 5970, "#B2");
checkMcf(mcf, mcf.run(NetworkSimplex<Digraph>::BLOCK_SEARCH),
gr, l2, u, c, s1, true, 5970, "#B3");
checkMcf(mcf, mcf.run(NetworkSimplex<Digraph>::CANDIDATE_LIST),
gr, l2, u, c, s1, true, 5970, "#B4");
checkMcf(mcf, mcf.run(NetworkSimplex<Digraph>::ALTERING_LIST),
gr, l2, u, c, s1, true, 5970, "#B5");
}
return 0;
}