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+/* -*- mode: C++; indent-tabs-mode: nil; -*-
+ *
+ * This file is a part of LEMON, a generic C++ optimization library.
+ *
+ * Copyright (C) 2003-2013
+ * 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 <lemon/full_graph.h>
+#include <lemon/math.h>
+#include <lemon/maps.h>
+#include <lemon/random.h>
+#include <lemon/dim2.h>
+
+#include <lemon/nearest_neighbor_tsp.h>
+#include <lemon/greedy_tsp.h>
+#include <lemon/insertion_tsp.h>
+#include <lemon/christofides_tsp.h>
+#include <lemon/opt2_tsp.h>
+
+#include "test_tools.h"
+
+using namespace lemon;
+
+// // Tests checkMetricCost() function
+// void metricCostTest() {
+// GRAPH_TYPEDEFS(FullGraph);
+// FullGraph g(10);
+// check(checkMetricCost(g, constMap<Edge>(0)), "Wrong checkMetricCost()");
+// check(checkMetricCost(g, constMap<Edge>(1)), "Wrong checkMetricCost()");
+// check(!checkMetricCost(g, constMap<Edge>(-1)), "Wrong checkMetricCost()");
+//
+// FullGraph::EdgeMap<float> cost(g);
+// for (NodeIt u(g); u != INVALID; ++u) {
+// for (NodeIt v(g); v != INVALID; ++v) {
+// if (u == v) continue;
+// float x1 = g.id(u), x2 = g.id(v);
+// float y1 = x1 * x1, y2 = x2 * x2;
+// cost[g.edge(u, v)] = std::sqrt((x2-x1)*(x2-x1) + (y2-y1)*(y2-y1));
+// }
+// }
+// check(checkMetricCost(g, cost), "Wrong checkMetricCost()");
+// float eps = Tolerance<float>::defaultEpsilon();
+// cost[g.edge(g(0), g(9))] =
+// cost[g.edge(g(0), g(8))] + cost[g.edge(g(8), g(9))] + eps * 2;
+// check(!checkMetricCost(g, cost), "Wrong checkMetricCost()");
+// check(checkMetricCost(g, cost, Tolerance<float>(eps * 4)),
+// "Wrong checkMetricCost()");
+// }
+
+// Checks tour validity
+template <typename Container>
+bool checkTour(const FullGraph &gr, const Container &p) {
+ FullGraph::NodeMap<bool> used(gr, false);
+
+ int node_cnt = 0;
+ for (typename Container::const_iterator it = p.begin(); it != p.end(); ++it)
+ {
+ FullGraph::Node node = *it;
+ if (used[node]) return false;
+ used[node] = true;
+ ++node_cnt;
+ }
+
+ return (node_cnt == gr.nodeNum());
+}
+
+// Checks tour validity
+bool checkTourPath(const FullGraph &gr, const Path<FullGraph> &p) {
+ FullGraph::NodeMap<bool> used(gr, false);
+
+ if (!checkPath(gr, p)) return false;
+ if (gr.nodeNum() <= 1 && p.length() != 0) return false;
+ if (gr.nodeNum() > 1 && p.length() != gr.nodeNum()) return false;
+
+ for (int i = 0; i < p.length(); ++i) {
+ if (used[gr.target(p.nth(i))]) return false;
+ used[gr.target(p.nth(i))] = true;
+ }
+ return true;
+}
+
+// Checks tour cost
+template <typename CostMap>
+bool checkCost(const FullGraph &gr, const std::vector<FullGraph::Node> &p,
+ const CostMap &cost, typename CostMap::Value total)
+{
+ typedef typename CostMap::Value Cost;
+
+ Cost s = 0;
+ for (int i = 0; i < int(p.size()) - 1; ++i)
+ s += cost[gr.edge(p[i], p[i+1])];
+ if (int(p.size()) >= 2)
+ s += cost[gr.edge(p.back(), p.front())];
+
+ return !Tolerance<Cost>().different(s, total);
+}
+
+// Checks tour cost
+template <typename CostMap>
+bool checkCost(const FullGraph &, const Path<FullGraph> &p,
+ const CostMap &cost, typename CostMap::Value total)
+{
+ typedef typename CostMap::Value Cost;
+
+ Cost s = 0;
+ for (int i = 0; i < p.length(); ++i)
+ s += cost[p.nth(i)];
+
+ return !Tolerance<Cost>().different(s, total);
+}
+
+// Tests a TSP algorithm on small graphs
+template <typename TSP>
+void tspTestSmall(const std::string &alg_name) {
+ GRAPH_TYPEDEFS(FullGraph);
+
+ for (int n = 0; n <= 5; ++n) {
+ FullGraph g(n);
+ unsigned nsize = n;
+ int esize = n <= 1 ? 0 : n;
+
+ ConstMap<Edge, int> cost_map(1);
+ TSP alg(g, cost_map);
+
+ check(alg.run() == esize, alg_name + ": Wrong total cost");
+ check(alg.tourCost() == esize, alg_name + ": Wrong total cost");
+
+ std::list<Node> list1(nsize), list2;
+ std::vector<Node> vec1(nsize), vec2;
+ alg.tourNodes(list1.begin());
+ alg.tourNodes(vec1.begin());
+ alg.tourNodes(std::front_inserter(list2));
+ alg.tourNodes(std::back_inserter(vec2));
+ check(checkTour(g, alg.tourNodes()), alg_name + ": Wrong node sequence");
+ check(checkTour(g, list1), alg_name + ": Wrong node sequence");
+ check(checkTour(g, vec1), alg_name + ": Wrong node sequence");
+ check(checkTour(g, list2), alg_name + ": Wrong node sequence");
+ check(checkTour(g, vec2), alg_name + ": Wrong node sequence");
+ check(checkCost(g, vec1, constMap<Edge, int>(1), esize),
+ alg_name + ": Wrong tour cost");
+
+ SimplePath<FullGraph> path;
+ alg.tour(path);
+ check(path.length() == esize, alg_name + ": Wrong tour");
+ check(checkTourPath(g, path), alg_name + ": Wrong tour");
+ check(checkCost(g, path, constMap<Edge, int>(1), esize),
+ alg_name + ": Wrong tour cost");
+ }
+}
+
+// Tests a TSP algorithm on random graphs
+template <typename TSP>
+void tspTestRandom(const std::string &alg_name) {
+ GRAPH_TYPEDEFS(FullGraph);
+
+ FullGraph g(20);
+ FullGraph::NodeMap<dim2::Point<double> > pos(g);
+ DoubleEdgeMap cost(g);
+
+ TSP alg(g, cost);
+ Opt2Tsp<DoubleEdgeMap > opt2(g, cost);
+
+ for (int i = 1; i <= 3; i++) {
+ for (NodeIt u(g); u != INVALID; ++u) {
+ pos[u] = dim2::Point<double>(rnd(), rnd());
+ }
+ for (NodeIt u(g); u != INVALID; ++u) {
+ for (NodeIt v(g); v != INVALID; ++v) {
+ if (u == v) continue;
+ cost[g.edge(u, v)] = (pos[u] - pos[v]).normSquare();
+ }
+ }
+
+ check(alg.run() > 0, alg_name + ": Wrong total cost");
+
+ std::vector<Node> vec;
+ alg.tourNodes(std::back_inserter(vec));
+ check(checkTour(g, vec), alg_name + ": Wrong node sequence");
+ check(checkCost(g, vec, cost, alg.tourCost()),
+ alg_name + ": Wrong tour cost");
+
+ SimplePath<FullGraph> path;
+ alg.tour(path);
+ check(checkTourPath(g, path), alg_name + ": Wrong tour");
+ check(checkCost(g, path, cost, alg.tourCost()),
+ alg_name + ": Wrong tour cost");
+
+ check(!Tolerance<double>().less(alg.tourCost(), opt2.run(alg.tourNodes())),
+ "2-opt improvement: Wrong total cost");
+ check(checkTour(g, opt2.tourNodes()),
+ "2-opt improvement: Wrong node sequence");
+ check(checkCost(g, opt2.tourNodes(), cost, opt2.tourCost()),
+ "2-opt improvement: Wrong tour cost");
+
+ check(!Tolerance<double>().less(alg.tourCost(), opt2.run(path)),
+ "2-opt improvement: Wrong total cost");
+ check(checkTour(g, opt2.tourNodes()),
+ "2-opt improvement: Wrong node sequence");
+ check(checkCost(g, opt2.tourNodes(), cost, opt2.tourCost()),
+ "2-opt improvement: Wrong tour cost");
+ }
+}
+
+// Algorithm class for Nearest Insertion
+template <typename CM>
+class NearestInsertionTsp : public InsertionTsp<CM> {
+public:
+ NearestInsertionTsp(const FullGraph &gr, const CM &cost)
+ : InsertionTsp<CM>(gr, cost) {}
+ typename CM::Value run() {
+ return InsertionTsp<CM>::run(InsertionTsp<CM>::NEAREST);
+ }
+};
+
+// Algorithm class for Farthest Insertion
+template <typename CM>
+class FarthestInsertionTsp : public InsertionTsp<CM> {
+public:
+ FarthestInsertionTsp(const FullGraph &gr, const CM &cost)
+ : InsertionTsp<CM>(gr, cost) {}
+ typename CM::Value run() {
+ return InsertionTsp<CM>::run(InsertionTsp<CM>::FARTHEST);
+ }
+};
+
+// Algorithm class for Cheapest Insertion
+template <typename CM>
+class CheapestInsertionTsp : public InsertionTsp<CM> {
+public:
+ CheapestInsertionTsp(const FullGraph &gr, const CM &cost)
+ : InsertionTsp<CM>(gr, cost) {}
+ typename CM::Value run() {
+ return InsertionTsp<CM>::run(InsertionTsp<CM>::CHEAPEST);
+ }
+};
+
+// Algorithm class for Random Insertion
+template <typename CM>
+class RandomInsertionTsp : public InsertionTsp<CM> {
+public:
+ RandomInsertionTsp(const FullGraph &gr, const CM &cost)
+ : InsertionTsp<CM>(gr, cost) {}
+ typename CM::Value run() {
+ return InsertionTsp<CM>::run(InsertionTsp<CM>::RANDOM);
+ }
+};
+
+int main() {
+ GRAPH_TYPEDEFS(FullGraph);
+
+ // metricCostTest();
+
+ tspTestSmall<NearestNeighborTsp<ConstMap<Edge, int> > >("Nearest Neighbor");
+ tspTestSmall<GreedyTsp<ConstMap<Edge, int> > >("Greedy");
+ tspTestSmall<NearestInsertionTsp<ConstMap<Edge, int> > >("Nearest Insertion");
+ tspTestSmall<FarthestInsertionTsp<ConstMap<Edge, int> > >
+ ("Farthest Insertion");
+ tspTestSmall<CheapestInsertionTsp<ConstMap<Edge, int> > >
+ ("Cheapest Insertion");
+ tspTestSmall<RandomInsertionTsp<ConstMap<Edge, int> > >("Random Insertion");
+ tspTestSmall<ChristofidesTsp<ConstMap<Edge, int> > >("Christofides");
+ tspTestSmall<Opt2Tsp<ConstMap<Edge, int> > >("2-opt");
+
+ tspTestRandom<NearestNeighborTsp<DoubleEdgeMap > >("Nearest Neighbor");
+ tspTestRandom<GreedyTsp<DoubleEdgeMap > >("Greedy");
+ tspTestRandom<NearestInsertionTsp<DoubleEdgeMap > >("Nearest Insertion");
+ tspTestRandom<FarthestInsertionTsp<DoubleEdgeMap > >("Farthest Insertion");
+ tspTestRandom<CheapestInsertionTsp<DoubleEdgeMap > >("Cheapest Insertion");
+ tspTestRandom<RandomInsertionTsp<DoubleEdgeMap > >("Random Insertion");
+ tspTestRandom<ChristofidesTsp<DoubleEdgeMap > >("Christofides");
+ tspTestRandom<Opt2Tsp<DoubleEdgeMap > >("2-opt");
+
+ return 0;
+}