Location: LEMON/LEMON-main/test/min_cost_flow_test.cc - annotation
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*
* This file is a part of LEMON, a generic C++ optimization library.
*
* Copyright (C) 2003-2010
* 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 <limits>
#include <lemon/list_graph.h>
#include <lemon/lgf_reader.h>
#include <lemon/network_simplex.h>
#include <lemon/capacity_scaling.h>
#include <lemon/cost_scaling.h>
#include <lemon/cycle_canceling.h>
#include <lemon/concepts/digraph.h>
#include <lemon/concepts/heap.h>
#include <lemon/concept_check.h>
#include "test_tools.h"
using namespace lemon;
// Test networks
char test_lgf[] =
"@nodes\n"
"label sup1 sup2 sup3 sup4 sup5 sup6\n"
" 1 20 27 0 30 20 30\n"
" 2 -4 0 0 0 -8 -3\n"
" 3 0 0 0 0 0 0\n"
" 4 0 0 0 0 0 0\n"
" 5 9 0 0 0 6 11\n"
" 6 -6 0 0 0 -5 -6\n"
" 7 0 0 0 0 0 0\n"
" 8 0 0 0 0 0 3\n"
" 9 3 0 0 0 0 0\n"
" 10 -2 0 0 0 -7 -2\n"
" 11 0 0 0 0 -10 0\n"
" 12 -20 -27 0 -30 -30 -20\n"
"\n"
"@arcs\n"
" cost cap low1 low2 low3\n"
" 1 2 70 11 0 8 8\n"
" 1 3 150 3 0 1 0\n"
" 1 4 80 15 0 2 2\n"
" 2 8 80 12 0 0 0\n"
" 3 5 140 5 0 3 1\n"
" 4 6 60 10 0 1 0\n"
" 4 7 80 2 0 0 0\n"
" 4 8 110 3 0 0 0\n"
" 5 7 60 14 0 0 0\n"
" 5 11 120 12 0 0 0\n"
" 6 3 0 3 0 0 0\n"
" 6 9 140 4 0 0 0\n"
" 6 10 90 8 0 0 0\n"
" 7 1 30 5 0 0 -5\n"
" 8 12 60 16 0 4 3\n"
" 9 12 50 6 0 0 0\n"
"10 12 70 13 0 5 2\n"
"10 2 100 7 0 0 0\n"
"10 7 60 10 0 0 -3\n"
"11 10 20 14 0 6 -20\n"
"12 11 30 10 0 0 -10\n"
"\n"
"@attributes\n"
"source 1\n"
"target 12\n";
char test_neg1_lgf[] =
"@nodes\n"
"label sup\n"
" 1 100\n"
" 2 0\n"
" 3 0\n"
" 4 -100\n"
" 5 0\n"
" 6 0\n"
" 7 0\n"
"@arcs\n"
" cost low1 low2\n"
"1 2 100 0 0\n"
"1 3 30 0 0\n"
"2 4 20 0 0\n"
"3 4 80 0 0\n"
"3 2 50 0 0\n"
"5 3 10 0 0\n"
"5 6 80 0 1000\n"
"6 7 30 0 -1000\n"
"7 5 -120 0 0\n";
char test_neg2_lgf[] =
"@nodes\n"
"label sup\n"
" 1 100\n"
" 2 -300\n"
"@arcs\n"
" cost\n"
"1 2 -1\n";
// Test data
typedef ListDigraph Digraph;
DIGRAPH_TYPEDEFS(ListDigraph);
Digraph gr;
Digraph::ArcMap<int> c(gr), l1(gr), l2(gr), l3(gr), u(gr);
Digraph::NodeMap<int> s1(gr), s2(gr), s3(gr), s4(gr), s5(gr), s6(gr);
ConstMap<Arc, int> cc(1), cu(std::numeric_limits<int>::max());
Node v, w;
Digraph neg1_gr;
Digraph::ArcMap<int> neg1_c(neg1_gr), neg1_l1(neg1_gr), neg1_l2(neg1_gr);
ConstMap<Arc, int> neg1_u1(std::numeric_limits<int>::max()), neg1_u2(5000);
Digraph::NodeMap<int> neg1_s(neg1_gr);
Digraph neg2_gr;
Digraph::ArcMap<int> neg2_c(neg2_gr);
ConstMap<Arc, int> neg2_l(0), neg2_u(1000);
Digraph::NodeMap<int> neg2_s(neg2_gr);
enum SupplyType {
EQ,
GEQ,
LEQ
};
// Check the interface of an MCF algorithm
template <typename GR, typename Value, typename Cost>
class McfClassConcept
{
public:
template <typename MCF>
struct Constraints {
void constraints() {
checkConcept<concepts::Digraph, GR>();
const Constraints& me = *this;
MCF mcf(me.g);
const MCF& const_mcf = mcf;
b = mcf.reset().resetParams()
.lowerMap(me.lower)
.upperMap(me.upper)
.costMap(me.cost)
.supplyMap(me.sup)
.stSupply(me.n, me.n, me.k)
.run();
c = const_mcf.totalCost();
x = const_mcf.template totalCost<double>();
v = const_mcf.flow(me.a);
c = const_mcf.potential(me.n);
const_mcf.flowMap(fm);
const_mcf.potentialMap(pm);
}
typedef typename GR::Node Node;
typedef typename GR::Arc Arc;
typedef concepts::ReadMap<Node, Value> NM;
typedef concepts::ReadMap<Arc, Value> VAM;
typedef concepts::ReadMap<Arc, Cost> CAM;
typedef concepts::WriteMap<Arc, Value> FlowMap;
typedef concepts::WriteMap<Node, Cost> PotMap;
GR g;
VAM lower;
VAM upper;
CAM cost;
NM sup;
Node n;
Arc a;
Value k;
FlowMap fm;
PotMap pm;
bool b;
double x;
typename MCF::Value v;
typename MCF::Cost c;
};
};
// 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,
SupplyType type = EQ )
{
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];
bool b = (type == EQ && sum == supply[n]) ||
(type == GEQ && sum >= supply[n]) ||
(type == LEQ && sum <= supply[n]);
if (!b) 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 SM, typename FM, typename PM >
bool checkPotential( const GR& gr, const LM& lower, const UM& upper,
const CM& cost, const SM& supply, const FM& flow,
const PM& pi, SupplyType type )
{
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]);
}
for (NodeIt n(gr); opt && 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 (type != LEQ) {
opt = (pi[n] <= 0) && (sum == supply[n] || pi[n] == 0);
} else {
opt = (pi[n] >= 0) && (sum == supply[n] || pi[n] == 0);
}
}
return opt;
}
// Check whether the dual cost is equal to the primal cost
template < typename GR, typename LM, typename UM,
typename CM, typename SM, typename PM >
bool checkDualCost( const GR& gr, const LM& lower, const UM& upper,
const CM& cost, const SM& supply, const PM& pi,
typename CM::Value total )
{
TEMPLATE_DIGRAPH_TYPEDEFS(GR);
typename CM::Value dual_cost = 0;
SM red_supply(gr);
for (NodeIt n(gr); n != INVALID; ++n) {
red_supply[n] = supply[n];
}
for (ArcIt a(gr); a != INVALID; ++a) {
if (lower[a] != 0) {
dual_cost += lower[a] * cost[a];
red_supply[gr.source(a)] -= lower[a];
red_supply[gr.target(a)] += lower[a];
}
}
for (NodeIt n(gr); n != INVALID; ++n) {
dual_cost -= red_supply[n] * pi[n];
}
for (ArcIt a(gr); a != INVALID; ++a) {
typename CM::Value red_cost =
cost[a] + pi[gr.source(a)] - pi[gr.target(a)];
dual_cost -= (upper[a] - lower[a]) * std::max(-red_cost, 0);
}
return dual_cost == total;
}
// Run a minimum cost flow algorithm and check the results
template < typename MCF, typename GR,
typename LM, typename UM,
typename CM, typename SM,
typename PT >
void checkMcf( const MCF& mcf, PT mcf_result,
const GR& gr, const LM& lower, const UM& upper,
const CM& cost, const SM& supply,
PT result, bool optimal, typename CM::Value total,
const std::string &test_id = "",
SupplyType type = EQ )
{
check(mcf_result == result, "Wrong result " + test_id);
if (optimal) {
typename GR::template ArcMap<typename SM::Value> flow(gr);
typename GR::template NodeMap<typename CM::Value> pi(gr);
mcf.flowMap(flow);
mcf.potentialMap(pi);
check(checkFlow(gr, lower, upper, supply, flow, type),
"The flow is not feasible " + test_id);
check(mcf.totalCost() == total, "The flow is not optimal " + test_id);
check(checkPotential(gr, lower, upper, cost, supply, flow, pi, type),
"Wrong potentials " + test_id);
check(checkDualCost(gr, lower, upper, cost, supply, pi, total),
"Wrong dual cost " + test_id);
}
}
template < typename MCF, typename Param >
void runMcfGeqTests( Param param,
const std::string &test_str = "",
bool full_neg_cost_support = false )
{
MCF mcf1(gr), mcf2(neg1_gr), mcf3(neg2_gr);
// Basic tests
mcf1.upperMap(u).costMap(c).supplyMap(s1);
checkMcf(mcf1, mcf1.run(param), gr, l1, u, c, s1,
mcf1.OPTIMAL, true, 5240, test_str + "-1");
mcf1.stSupply(v, w, 27);
checkMcf(mcf1, mcf1.run(param), gr, l1, u, c, s2,
mcf1.OPTIMAL, true, 7620, test_str + "-2");
mcf1.lowerMap(l2).supplyMap(s1);
checkMcf(mcf1, mcf1.run(param), gr, l2, u, c, s1,
mcf1.OPTIMAL, true, 5970, test_str + "-3");
mcf1.stSupply(v, w, 27);
checkMcf(mcf1, mcf1.run(param), gr, l2, u, c, s2,
mcf1.OPTIMAL, true, 8010, test_str + "-4");
mcf1.resetParams().supplyMap(s1);
checkMcf(mcf1, mcf1.run(param), gr, l1, cu, cc, s1,
mcf1.OPTIMAL, true, 74, test_str + "-5");
mcf1.lowerMap(l2).stSupply(v, w, 27);
checkMcf(mcf1, mcf1.run(param), gr, l2, cu, cc, s2,
mcf1.OPTIMAL, true, 94, test_str + "-6");
mcf1.reset();
checkMcf(mcf1, mcf1.run(param), gr, l1, cu, cc, s3,
mcf1.OPTIMAL, true, 0, test_str + "-7");
mcf1.lowerMap(l2).upperMap(u);
checkMcf(mcf1, mcf1.run(param), gr, l2, u, cc, s3,
mcf1.INFEASIBLE, false, 0, test_str + "-8");
mcf1.lowerMap(l3).upperMap(u).costMap(c).supplyMap(s4);
checkMcf(mcf1, mcf1.run(param), gr, l3, u, c, s4,
mcf1.OPTIMAL, true, 6360, test_str + "-9");
// Tests for the GEQ form
mcf1.resetParams().upperMap(u).costMap(c).supplyMap(s5);
checkMcf(mcf1, mcf1.run(param), gr, l1, u, c, s5,
mcf1.OPTIMAL, true, 3530, test_str + "-10", GEQ);
mcf1.lowerMap(l2);
checkMcf(mcf1, mcf1.run(param), gr, l2, u, c, s5,
mcf1.OPTIMAL, true, 4540, test_str + "-11", GEQ);
mcf1.supplyMap(s6);
checkMcf(mcf1, mcf1.run(param), gr, l2, u, c, s6,
mcf1.INFEASIBLE, false, 0, test_str + "-12", GEQ);
// Tests with negative costs
mcf2.lowerMap(neg1_l1).costMap(neg1_c).supplyMap(neg1_s);
checkMcf(mcf2, mcf2.run(param), neg1_gr, neg1_l1, neg1_u1, neg1_c, neg1_s,
mcf2.UNBOUNDED, false, 0, test_str + "-13");
mcf2.upperMap(neg1_u2);
checkMcf(mcf2, mcf2.run(param), neg1_gr, neg1_l1, neg1_u2, neg1_c, neg1_s,
mcf2.OPTIMAL, true, -40000, test_str + "-14");
mcf2.resetParams().lowerMap(neg1_l2).costMap(neg1_c).supplyMap(neg1_s);
checkMcf(mcf2, mcf2.run(param), neg1_gr, neg1_l2, neg1_u1, neg1_c, neg1_s,
mcf2.UNBOUNDED, false, 0, test_str + "-15");
mcf3.costMap(neg2_c).supplyMap(neg2_s);
if (full_neg_cost_support) {
checkMcf(mcf3, mcf3.run(param), neg2_gr, neg2_l, neg2_u, neg2_c, neg2_s,
mcf3.OPTIMAL, true, -300, test_str + "-16", GEQ);
} else {
checkMcf(mcf3, mcf3.run(param), neg2_gr, neg2_l, neg2_u, neg2_c, neg2_s,
mcf3.UNBOUNDED, false, 0, test_str + "-17", GEQ);
}
mcf3.upperMap(neg2_u);
checkMcf(mcf3, mcf3.run(param), neg2_gr, neg2_l, neg2_u, neg2_c, neg2_s,
mcf3.OPTIMAL, true, -300, test_str + "-18", GEQ);
}
template < typename MCF, typename Param >
void runMcfLeqTests( Param param,
const std::string &test_str = "" )
{
// Tests for the LEQ form
MCF mcf1(gr);
mcf1.supplyType(mcf1.LEQ);
mcf1.upperMap(u).costMap(c).supplyMap(s6);
checkMcf(mcf1, mcf1.run(param), gr, l1, u, c, s6,
mcf1.OPTIMAL, true, 5080, test_str + "-19", LEQ);
mcf1.lowerMap(l2);
checkMcf(mcf1, mcf1.run(param), gr, l2, u, c, s6,
mcf1.OPTIMAL, true, 5930, test_str + "-20", LEQ);
mcf1.supplyMap(s5);
checkMcf(mcf1, mcf1.run(param), gr, l2, u, c, s5,
mcf1.INFEASIBLE, false, 0, test_str + "-21", LEQ);
}
int main()
{
// Read the test networks
std::istringstream input(test_lgf);
DigraphReader<Digraph>(gr, input)
.arcMap("cost", c)
.arcMap("cap", u)
.arcMap("low1", l1)
.arcMap("low2", l2)
.arcMap("low3", l3)
.nodeMap("sup1", s1)
.nodeMap("sup2", s2)
.nodeMap("sup3", s3)
.nodeMap("sup4", s4)
.nodeMap("sup5", s5)
.nodeMap("sup6", s6)
.node("source", v)
.node("target", w)
.run();
std::istringstream neg_inp1(test_neg1_lgf);
DigraphReader<Digraph>(neg1_gr, neg_inp1)
.arcMap("cost", neg1_c)
.arcMap("low1", neg1_l1)
.arcMap("low2", neg1_l2)
.nodeMap("sup", neg1_s)
.run();
std::istringstream neg_inp2(test_neg2_lgf);
DigraphReader<Digraph>(neg2_gr, neg_inp2)
.arcMap("cost", neg2_c)
.nodeMap("sup", neg2_s)
.run();
// Check the interface of NetworkSimplex
{
typedef concepts::Digraph GR;
checkConcept< McfClassConcept<GR, int, int>,
NetworkSimplex<GR> >();
checkConcept< McfClassConcept<GR, double, double>,
NetworkSimplex<GR, double> >();
checkConcept< McfClassConcept<GR, int, double>,
NetworkSimplex<GR, int, double> >();
}
// Check the interface of CapacityScaling
{
typedef concepts::Digraph GR;
checkConcept< McfClassConcept<GR, int, int>,
CapacityScaling<GR> >();
checkConcept< McfClassConcept<GR, double, double>,
CapacityScaling<GR, double> >();
checkConcept< McfClassConcept<GR, int, double>,
CapacityScaling<GR, int, double> >();
typedef CapacityScaling<GR>::
SetHeap<concepts::Heap<int, RangeMap<int> > >::Create CAS;
checkConcept< McfClassConcept<GR, int, int>, CAS >();
}
// Check the interface of CostScaling
{
typedef concepts::Digraph GR;
checkConcept< McfClassConcept<GR, int, int>,
CostScaling<GR> >();
checkConcept< McfClassConcept<GR, double, double>,
CostScaling<GR, double> >();
checkConcept< McfClassConcept<GR, int, double>,
CostScaling<GR, int, double> >();
typedef CostScaling<GR>::
SetLargeCost<double>::Create COS;
checkConcept< McfClassConcept<GR, int, int>, COS >();
}
// Check the interface of CycleCanceling
{
typedef concepts::Digraph GR;
checkConcept< McfClassConcept<GR, int, int>,
CycleCanceling<GR> >();
checkConcept< McfClassConcept<GR, double, double>,
CycleCanceling<GR, double> >();
checkConcept< McfClassConcept<GR, int, double>,
CycleCanceling<GR, int, double> >();
}
// Test NetworkSimplex
{
typedef NetworkSimplex<Digraph> MCF;
runMcfGeqTests<MCF>(MCF::FIRST_ELIGIBLE, "NS-FE", true);
runMcfLeqTests<MCF>(MCF::FIRST_ELIGIBLE, "NS-FE");
runMcfGeqTests<MCF>(MCF::BEST_ELIGIBLE, "NS-BE", true);
runMcfLeqTests<MCF>(MCF::BEST_ELIGIBLE, "NS-BE");
runMcfGeqTests<MCF>(MCF::BLOCK_SEARCH, "NS-BS", true);
runMcfLeqTests<MCF>(MCF::BLOCK_SEARCH, "NS-BS");
runMcfGeqTests<MCF>(MCF::CANDIDATE_LIST, "NS-CL", true);
runMcfLeqTests<MCF>(MCF::CANDIDATE_LIST, "NS-CL");
runMcfGeqTests<MCF>(MCF::ALTERING_LIST, "NS-AL", true);
runMcfLeqTests<MCF>(MCF::ALTERING_LIST, "NS-AL");
}
// Test CapacityScaling
{
typedef CapacityScaling<Digraph> MCF;
runMcfGeqTests<MCF>(0, "SSP");
runMcfGeqTests<MCF>(2, "CAS");
}
// Test CostScaling
{
typedef CostScaling<Digraph> MCF;
runMcfGeqTests<MCF>(MCF::PUSH, "COS-PR");
runMcfGeqTests<MCF>(MCF::AUGMENT, "COS-AR");
runMcfGeqTests<MCF>(MCF::PARTIAL_AUGMENT, "COS-PAR");
}
// Test CycleCanceling
{
typedef CycleCanceling<Digraph> MCF;
runMcfGeqTests<MCF>(MCF::SIMPLE_CYCLE_CANCELING, "SCC");
runMcfGeqTests<MCF>(MCF::MINIMUM_MEAN_CYCLE_CANCELING, "MMCC");
runMcfGeqTests<MCF>(MCF::CANCEL_AND_TIGHTEN, "CAT");
}
return 0;
}
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