1 | /* -*- mode: C++; indent-tabs-mode: nil; -*- |
---|
2 | * |
---|
3 | * This file is a part of LEMON, a generic C++ optimization library. |
---|
4 | * |
---|
5 | * Copyright (C) 2003-2010 |
---|
6 | * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport |
---|
7 | * (Egervary Research Group on Combinatorial Optimization, EGRES). |
---|
8 | * |
---|
9 | * Permission to use, modify and distribute this software is granted |
---|
10 | * provided that this copyright notice appears in all copies. For |
---|
11 | * precise terms see the accompanying LICENSE file. |
---|
12 | * |
---|
13 | * This software is provided "AS IS" with no warranty of any kind, |
---|
14 | * express or implied, and with no claim as to its suitability for any |
---|
15 | * purpose. |
---|
16 | * |
---|
17 | */ |
---|
18 | |
---|
19 | #include <iostream> |
---|
20 | |
---|
21 | #include <lemon/full_graph.h> |
---|
22 | #include <lemon/math.h> |
---|
23 | #include <lemon/maps.h> |
---|
24 | #include <lemon/random.h> |
---|
25 | #include <lemon/dim2.h> |
---|
26 | |
---|
27 | #include <lemon/nearest_neighbor_tsp.h> |
---|
28 | #include <lemon/greedy_tsp.h> |
---|
29 | #include <lemon/insertion_tsp.h> |
---|
30 | #include <lemon/christofides_tsp.h> |
---|
31 | #include <lemon/opt2_tsp.h> |
---|
32 | |
---|
33 | #include "test_tools.h" |
---|
34 | |
---|
35 | using namespace lemon; |
---|
36 | |
---|
37 | // // Tests checkMetricCost() function |
---|
38 | // void metricCostTest() { |
---|
39 | // GRAPH_TYPEDEFS(FullGraph); |
---|
40 | // FullGraph g(10); |
---|
41 | // check(checkMetricCost(g, constMap<Edge>(0)), "Wrong checkMetricCost()"); |
---|
42 | // check(checkMetricCost(g, constMap<Edge>(1)), "Wrong checkMetricCost()"); |
---|
43 | // check(!checkMetricCost(g, constMap<Edge>(-1)), "Wrong checkMetricCost()"); |
---|
44 | // |
---|
45 | // FullGraph::EdgeMap<float> cost(g); |
---|
46 | // for (NodeIt u(g); u != INVALID; ++u) { |
---|
47 | // for (NodeIt v(g); v != INVALID; ++v) { |
---|
48 | // if (u == v) continue; |
---|
49 | // float x1 = g.id(u), x2 = g.id(v); |
---|
50 | // float y1 = x1 * x1, y2 = x2 * x2; |
---|
51 | // cost[g.edge(u, v)] = std::sqrt((x2-x1)*(x2-x1) + (y2-y1)*(y2-y1)); |
---|
52 | // } |
---|
53 | // } |
---|
54 | // check(checkMetricCost(g, cost), "Wrong checkMetricCost()"); |
---|
55 | // float eps = Tolerance<float>::defaultEpsilon(); |
---|
56 | // cost[g.edge(g(0), g(9))] = |
---|
57 | // cost[g.edge(g(0), g(8))] + cost[g.edge(g(8), g(9))] + eps * 2; |
---|
58 | // check(!checkMetricCost(g, cost), "Wrong checkMetricCost()"); |
---|
59 | // check(checkMetricCost(g, cost, Tolerance<float>(eps * 4)), |
---|
60 | // "Wrong checkMetricCost()"); |
---|
61 | // } |
---|
62 | |
---|
63 | // Checks tour validity |
---|
64 | template <typename Container> |
---|
65 | bool checkTour(const FullGraph &gr, const Container &p) { |
---|
66 | FullGraph::NodeMap<bool> used(gr, false); |
---|
67 | |
---|
68 | int node_cnt = 0; |
---|
69 | for (typename Container::const_iterator it = p.begin(); it != p.end(); ++it) { |
---|
70 | FullGraph::Node node = *it; |
---|
71 | if (used[node]) return false; |
---|
72 | used[node] = true; |
---|
73 | ++node_cnt; |
---|
74 | } |
---|
75 | |
---|
76 | return (node_cnt == gr.nodeNum()); |
---|
77 | } |
---|
78 | |
---|
79 | // Checks tour validity |
---|
80 | bool checkTourPath(const FullGraph &gr, const Path<FullGraph> &p) { |
---|
81 | FullGraph::NodeMap<bool> used(gr, false); |
---|
82 | |
---|
83 | if (!checkPath(gr, p)) return false; |
---|
84 | if (gr.nodeNum() <= 1 && p.length() != 0) return false; |
---|
85 | if (gr.nodeNum() > 1 && p.length() != gr.nodeNum()) return false; |
---|
86 | |
---|
87 | for (int i = 0; i < p.length(); ++i) { |
---|
88 | if (used[gr.target(p.nth(i))]) return false; |
---|
89 | used[gr.target(p.nth(i))] = true; |
---|
90 | } |
---|
91 | return true; |
---|
92 | } |
---|
93 | |
---|
94 | // Checks tour cost |
---|
95 | template <typename CostMap> |
---|
96 | bool checkCost(const FullGraph &gr, const std::vector<FullGraph::Node> &p, |
---|
97 | const CostMap &cost, typename CostMap::Value total) |
---|
98 | { |
---|
99 | typedef typename CostMap::Value Cost; |
---|
100 | |
---|
101 | Cost s = 0; |
---|
102 | for (int i = 0; i < int(p.size()) - 1; ++i) |
---|
103 | s += cost[gr.edge(p[i], p[i+1])]; |
---|
104 | if (int(p.size()) >= 2) |
---|
105 | s += cost[gr.edge(p.back(), p.front())]; |
---|
106 | |
---|
107 | return !Tolerance<Cost>().different(s, total); |
---|
108 | } |
---|
109 | |
---|
110 | // Checks tour cost |
---|
111 | template <typename CostMap> |
---|
112 | bool checkCost(const FullGraph &, const Path<FullGraph> &p, |
---|
113 | const CostMap &cost, typename CostMap::Value total) |
---|
114 | { |
---|
115 | typedef typename CostMap::Value Cost; |
---|
116 | |
---|
117 | Cost s = 0; |
---|
118 | for (int i = 0; i < p.length(); ++i) |
---|
119 | s += cost[p.nth(i)]; |
---|
120 | |
---|
121 | return !Tolerance<Cost>().different(s, total); |
---|
122 | } |
---|
123 | |
---|
124 | // Tests a TSP algorithm on small graphs |
---|
125 | template <typename TSP> |
---|
126 | void tspTestSmall(const std::string &alg_name) { |
---|
127 | GRAPH_TYPEDEFS(FullGraph); |
---|
128 | |
---|
129 | for (int n = 0; n <= 5; ++n) { |
---|
130 | FullGraph g(n); |
---|
131 | unsigned nsize = n; |
---|
132 | int esize = n <= 1 ? 0 : n; |
---|
133 | |
---|
134 | TSP alg(g, constMap<Edge, int>(1)); |
---|
135 | |
---|
136 | check(alg.run() == esize, alg_name + ": Wrong total cost"); |
---|
137 | check(alg.tourCost() == esize, alg_name + ": Wrong total cost"); |
---|
138 | |
---|
139 | std::list<Node> list1(nsize), list2; |
---|
140 | std::vector<Node> vec1(nsize), vec2; |
---|
141 | alg.tourNodes(list1.begin()); |
---|
142 | alg.tourNodes(vec1.begin()); |
---|
143 | alg.tourNodes(std::front_inserter(list2)); |
---|
144 | alg.tourNodes(std::back_inserter(vec2)); |
---|
145 | check(checkTour(g, alg.tourNodes()), alg_name + ": Wrong node sequence"); |
---|
146 | check(checkTour(g, list1), alg_name + ": Wrong node sequence"); |
---|
147 | check(checkTour(g, vec1), alg_name + ": Wrong node sequence"); |
---|
148 | check(checkTour(g, list2), alg_name + ": Wrong node sequence"); |
---|
149 | check(checkTour(g, vec2), alg_name + ": Wrong node sequence"); |
---|
150 | check(checkCost(g, vec1, constMap<Edge, int>(1), esize), |
---|
151 | alg_name + ": Wrong tour cost"); |
---|
152 | |
---|
153 | SimplePath<FullGraph> path; |
---|
154 | alg.tour(path); |
---|
155 | check(path.length() == esize, alg_name + ": Wrong tour"); |
---|
156 | check(checkTourPath(g, path), alg_name + ": Wrong tour"); |
---|
157 | check(checkCost(g, path, constMap<Edge, int>(1), esize), |
---|
158 | alg_name + ": Wrong tour cost"); |
---|
159 | } |
---|
160 | } |
---|
161 | |
---|
162 | // Tests a TSP algorithm on random graphs |
---|
163 | template <typename TSP> |
---|
164 | void tspTestRandom(const std::string &alg_name) { |
---|
165 | GRAPH_TYPEDEFS(FullGraph); |
---|
166 | |
---|
167 | FullGraph g(20); |
---|
168 | FullGraph::NodeMap<dim2::Point<double> > pos(g); |
---|
169 | DoubleEdgeMap cost(g); |
---|
170 | |
---|
171 | TSP alg(g, cost); |
---|
172 | Opt2Tsp<DoubleEdgeMap > opt2(g, cost); |
---|
173 | |
---|
174 | for (int i = 1; i <= 3; i++) { |
---|
175 | for (NodeIt u(g); u != INVALID; ++u) { |
---|
176 | pos[u] = dim2::Point<double>(rnd(), rnd()); |
---|
177 | } |
---|
178 | for (NodeIt u(g); u != INVALID; ++u) { |
---|
179 | for (NodeIt v(g); v != INVALID; ++v) { |
---|
180 | if (u == v) continue; |
---|
181 | cost[g.edge(u, v)] = (pos[u] - pos[v]).normSquare(); |
---|
182 | } |
---|
183 | } |
---|
184 | |
---|
185 | check(alg.run() > 0, alg_name + ": Wrong total cost"); |
---|
186 | |
---|
187 | std::vector<Node> vec; |
---|
188 | alg.tourNodes(std::back_inserter(vec)); |
---|
189 | check(checkTour(g, vec), alg_name + ": Wrong node sequence"); |
---|
190 | check(checkCost(g, vec, cost, alg.tourCost()), |
---|
191 | alg_name + ": Wrong tour cost"); |
---|
192 | |
---|
193 | SimplePath<FullGraph> path; |
---|
194 | alg.tour(path); |
---|
195 | check(checkTourPath(g, path), alg_name + ": Wrong tour"); |
---|
196 | check(checkCost(g, path, cost, alg.tourCost()), |
---|
197 | alg_name + ": Wrong tour cost"); |
---|
198 | |
---|
199 | check(!Tolerance<double>().less(alg.tourCost(), opt2.run(alg.tourNodes())), |
---|
200 | "2-opt improvement: Wrong total cost"); |
---|
201 | check(checkTour(g, opt2.tourNodes()), |
---|
202 | "2-opt improvement: Wrong node sequence"); |
---|
203 | check(checkCost(g, opt2.tourNodes(), cost, opt2.tourCost()), |
---|
204 | "2-opt improvement: Wrong tour cost"); |
---|
205 | |
---|
206 | check(!Tolerance<double>().less(alg.tourCost(), opt2.run(path)), |
---|
207 | "2-opt improvement: Wrong total cost"); |
---|
208 | check(checkTour(g, opt2.tourNodes()), |
---|
209 | "2-opt improvement: Wrong node sequence"); |
---|
210 | check(checkCost(g, opt2.tourNodes(), cost, opt2.tourCost()), |
---|
211 | "2-opt improvement: Wrong tour cost"); |
---|
212 | } |
---|
213 | } |
---|
214 | |
---|
215 | // Algorithm class for Nearest Insertion |
---|
216 | template <typename CM> |
---|
217 | class NearestInsertionTsp : public InsertionTsp<CM> { |
---|
218 | public: |
---|
219 | NearestInsertionTsp(const FullGraph &gr, const CM &cost) |
---|
220 | : InsertionTsp<CM>(gr, cost) {} |
---|
221 | typename CM::Value run() { |
---|
222 | return InsertionTsp<CM>::run(InsertionTsp<CM>::NEAREST); |
---|
223 | } |
---|
224 | }; |
---|
225 | |
---|
226 | // Algorithm class for Farthest Insertion |
---|
227 | template <typename CM> |
---|
228 | class FarthestInsertionTsp : public InsertionTsp<CM> { |
---|
229 | public: |
---|
230 | FarthestInsertionTsp(const FullGraph &gr, const CM &cost) |
---|
231 | : InsertionTsp<CM>(gr, cost) {} |
---|
232 | typename CM::Value run() { |
---|
233 | return InsertionTsp<CM>::run(InsertionTsp<CM>::FARTHEST); |
---|
234 | } |
---|
235 | }; |
---|
236 | |
---|
237 | // Algorithm class for Cheapest Insertion |
---|
238 | template <typename CM> |
---|
239 | class CheapestInsertionTsp : public InsertionTsp<CM> { |
---|
240 | public: |
---|
241 | CheapestInsertionTsp(const FullGraph &gr, const CM &cost) |
---|
242 | : InsertionTsp<CM>(gr, cost) {} |
---|
243 | typename CM::Value run() { |
---|
244 | return InsertionTsp<CM>::run(InsertionTsp<CM>::CHEAPEST); |
---|
245 | } |
---|
246 | }; |
---|
247 | |
---|
248 | // Algorithm class for Random Insertion |
---|
249 | template <typename CM> |
---|
250 | class RandomInsertionTsp : public InsertionTsp<CM> { |
---|
251 | public: |
---|
252 | RandomInsertionTsp(const FullGraph &gr, const CM &cost) |
---|
253 | : InsertionTsp<CM>(gr, cost) {} |
---|
254 | typename CM::Value run() { |
---|
255 | return InsertionTsp<CM>::run(InsertionTsp<CM>::RANDOM); |
---|
256 | } |
---|
257 | }; |
---|
258 | |
---|
259 | int main() { |
---|
260 | GRAPH_TYPEDEFS(FullGraph); |
---|
261 | |
---|
262 | // metricCostTest(); |
---|
263 | |
---|
264 | tspTestSmall<NearestNeighborTsp<ConstMap<Edge, int> > >("Nearest Neighbor"); |
---|
265 | tspTestSmall<GreedyTsp<ConstMap<Edge, int> > >("Greedy"); |
---|
266 | tspTestSmall<NearestInsertionTsp<ConstMap<Edge, int> > >("Nearest Insertion"); |
---|
267 | tspTestSmall<FarthestInsertionTsp<ConstMap<Edge, int> > >("Farthest Insertion"); |
---|
268 | tspTestSmall<CheapestInsertionTsp<ConstMap<Edge, int> > >("Cheapest Insertion"); |
---|
269 | tspTestSmall<RandomInsertionTsp<ConstMap<Edge, int> > >("Random Insertion"); |
---|
270 | tspTestSmall<ChristofidesTsp<ConstMap<Edge, int> > >("Christofides"); |
---|
271 | tspTestSmall<Opt2Tsp<ConstMap<Edge, int> > >("2-opt"); |
---|
272 | |
---|
273 | tspTestRandom<NearestNeighborTsp<DoubleEdgeMap > >("Nearest Neighbor"); |
---|
274 | tspTestRandom<GreedyTsp<DoubleEdgeMap > >("Greedy"); |
---|
275 | tspTestRandom<NearestInsertionTsp<DoubleEdgeMap > >("Nearest Insertion"); |
---|
276 | tspTestRandom<FarthestInsertionTsp<DoubleEdgeMap > >("Farthest Insertion"); |
---|
277 | tspTestRandom<CheapestInsertionTsp<DoubleEdgeMap > >("Cheapest Insertion"); |
---|
278 | tspTestRandom<RandomInsertionTsp<DoubleEdgeMap > >("Random Insertion"); |
---|
279 | tspTestRandom<ChristofidesTsp<DoubleEdgeMap > >("Christofides"); |
---|
280 | tspTestRandom<Opt2Tsp<DoubleEdgeMap > >("2-opt"); |
---|
281 | |
---|
282 | return 0; |
---|
283 | } |
---|