結果
問題 | No.5007 Steiner Space Travel |
ユーザー | milanis48663220 |
提出日時 | 2022-07-30 17:20:57 |
言語 | C++17 (gcc 12.3.0 + boost 1.83.0) |
結果 |
AC
|
実行時間 | 959 ms / 1,000 ms |
コード長 | 13,951 bytes |
コンパイル時間 | 1,997 ms |
実行使用メモリ | 6,948 KB |
スコア | 8,589,246 |
最終ジャッジ日時 | 2022-07-30 17:21:31 |
合計ジャッジ時間 | 32,361 ms |
ジャッジサーバーID (参考情報) |
judge13 / judge11 |
純コード判定しない問題か言語 |
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テストケース
テストケース表示入力 | 結果 | 実行時間 実行使用メモリ |
---|---|---|
testcase_00 | AC | 936 ms
4,224 KB |
testcase_01 | AC | 909 ms
4,176 KB |
testcase_02 | AC | 923 ms
4,380 KB |
testcase_03 | AC | 917 ms
4,212 KB |
testcase_04 | AC | 908 ms
4,180 KB |
testcase_05 | AC | 935 ms
4,244 KB |
testcase_06 | AC | 908 ms
4,236 KB |
testcase_07 | AC | 935 ms
4,100 KB |
testcase_08 | AC | 909 ms
4,424 KB |
testcase_09 | AC | 921 ms
4,104 KB |
testcase_10 | AC | 926 ms
4,292 KB |
testcase_11 | AC | 908 ms
4,108 KB |
testcase_12 | AC | 935 ms
4,244 KB |
testcase_13 | AC | 908 ms
4,380 KB |
testcase_14 | AC | 934 ms
4,140 KB |
testcase_15 | AC | 908 ms
4,176 KB |
testcase_16 | AC | 921 ms
4,100 KB |
testcase_17 | AC | 929 ms
4,380 KB |
testcase_18 | AC | 907 ms
4,292 KB |
testcase_19 | AC | 935 ms
4,900 KB |
testcase_20 | AC | 907 ms
4,908 KB |
testcase_21 | AC | 959 ms
4,904 KB |
testcase_22 | AC | 918 ms
4,900 KB |
testcase_23 | AC | 908 ms
4,904 KB |
testcase_24 | AC | 936 ms
4,900 KB |
testcase_25 | AC | 908 ms
4,908 KB |
testcase_26 | AC | 934 ms
4,904 KB |
testcase_27 | AC | 929 ms
6,948 KB |
testcase_28 | AC | 909 ms
4,184 KB |
testcase_29 | AC | 937 ms
4,904 KB |
ソースコード
#include <iostream> #include <algorithm> #include <iomanip> #include <vector> #include <queue> #include <deque> #include <set> #include <map> #include <tuple> #include <cmath> #include <numeric> #include <functional> #include <cassert> #include <random> std::random_device rnd; std::mt19937 mt(rnd()); int randint(const int l, const int r){ return mt()%(r - l) + l; } #define debug_value(x) cerr << "line" << __LINE__ << ":<" << __func__ << ">:" << #x << "=" << x << endl; #define debug(x) cerr << "line" << __LINE__ << ":<" << __func__ << ">:" << x << endl; template<class T> inline bool chmax(T& a, T b) { if (a < b) { a = b; return 1; } return 0; } template<class T> inline bool chmin(T& a, T b) { if (a > b) { a = b; return 1; } return 0; } using namespace std; typedef long long ll; template<typename T> vector<vector<T>> vec2d(int n, int m, T v){ return vector<vector<T>>(n, vector<T>(m, v)); } template<typename T> vector<vector<vector<T>>> vec3d(int n, int m, int k, T v){ return vector<vector<vector<T>>>(n, vector<vector<T>>(m, vector<T>(k, v))); } template<typename T> void print_vector(vector<T> v, char delimiter=' '){ if(v.empty()) { cout << endl; return; } for(int i = 0; i+1 < v.size(); i++) cout << v[i] << delimiter; cout << v.back() << endl; } const ll infll = 1e+18; vector<vector<ll>> warshallfloyd(vector<vector<ll>> g){ int n = g.size(); vector<vector<ll>> dist(n, vector<ll>(n)); for(int i = 0; i < n; i++){ for(int j = 0; j < n; j++){ dist[i][j] = g[i][j]; } dist[i][i] = 0; } for(int i = 0; i < n; i++){ for(int j = 0; j < n; j++){ for(int k = 0; k < n; k++){ ll new_len = dist[j][i] + dist[i][k]; dist[j][k] = min(new_len, dist[j][k]); } } } return dist; } const int n = 100; const int m = 8; int a[n], b[n]; using P = pair<int, int>; using Pdd = pair<double, double>; void get_input(){ int dummy; cin >> dummy >> dummy; for(int i = 0; i < n; i++) cin >> a[i] >> b[i]; } double dist(double x0, double y0, double x1, double y1){ double dx = x0-x1; double dy = y0-y1; return sqrt(dx*dx+dy*dy); } vector<P> k_means(vector<P> points, int k=m, int iter=100){ vector<ll> x_sum(k), y_sum(k), cnt(k); vector<int> perm(points.size()); iota(perm.begin(), perm.end(), 0); shuffle(perm.begin(), perm.end(), mt); for(int i = 0; i < points.size(); i++){ x_sum[i%k] += points[i].first; y_sum[i%k] += points[i].second; cnt[i%k]++; } vector<Pdd> cur_ans; for(int i = 0; i < k; i++) cur_ans.push_back(P(x_sum[i]/cnt[i], y_sum[i]/cnt[i])); for(int i = 0; i < iter; i++){ vector<vector<P>> clusters(k); for(auto [x, y]: points){ int idx = -1; double min_dist = 1e9; for(int j = 0; j < k; j++){ auto [xx, yy] = cur_ans[j]; if(chmin(min_dist, dist(xx, yy, x, y))) idx = j; } clusters[idx].push_back(P(x, y)); } for(int i = 0; i < k; i++){ int sz = clusters[i].size(); if(sz == 0) continue; int x_sum = 0, y_sum = 0; for(auto [x, y]: clusters[i]){ x_sum += x; y_sum += y; } cur_ans[i] = P(double(x_sum)/double(sz), double(y_sum)/double(sz)); } } vector<P> ans; for(int i = 0; i < k; i++){ auto [xx, yy] = cur_ans[i]; int x = max(0, (int)round(xx)); int y = max(0, (int)round(yy)); ans.push_back(P(x, y)); } return ans; } bool seen_shortest_path[n+m]; vector<int> shortest_path(const vector<vector<ll>> &dist, const vector<vector<ll>> &g, const int s, const int t){ int sz = dist.size(); int cur = t; vector<int> ans; while(cur != s){ ans.push_back(cur); seen_shortest_path[cur] = true; for(int i = 0; i < sz; i++){ if(i == cur) continue; if(seen_shortest_path[i]) continue; if(dist[s][cur] == dist[s][i]+g[i][cur]){ cur = i; break; } assert(i != sz-1); } } for(int v: ans) seen_shortest_path[v] = false; ans.push_back(s); reverse(ans.begin(), ans.end()); return ans; } vector<int> greedy_tour(const vector<vector<ll>> &dist, int s){ vector<bool> visited(n); int cur = s; vector<int> ans; for(int i = 0; i < n; i++){ ans.push_back(cur); visited[cur] = true; ll min_dist = infll; int nx = -1; for(int j = 0; j < n; j++){ if(visited[j]) continue; if(chmin(min_dist, dist[cur][j])){ nx = j; } } cur = nx; } return ans; } ll eval_stations(vector<P> stations){ auto g = vec2d(n+m, n+m, infll); auto coef = [](int i, int j){ if(i < n && j < n) return 25; if(i < n || j < n) return 5; return 1; }; auto get_x = [&](int i){ if(i < n) return a[i]; return stations[i-n].first; }; auto get_y = [&](int i){ if(i < n) return b[i]; return stations[i-n].second; }; for(int i = 0; i < n+m; i++){ for(int j = i+1; j < n+m; j++){ ll dx = get_x(i)-get_x(j), dy = get_y(i)-get_y(j); ll dist = (dx*dx+dy*dy)*coef(i, j); g[i][j] = dist; g[j][i] = dist; } } auto dist = warshallfloyd(g); auto tour = greedy_tour(dist, 0); ll len = 0; for(int i = 0; i < n; i++){ int j = (i+1)%n; len += dist[tour[i]][tour[j]]; } return len; } vector<P> improve_stations_pre_solve(vector<P> initial_solution, double time_limit, double start_temp = 50.0, double end_temp = 0.0){ clock_t start = clock(); auto ans = initial_solution; ll cur_score = eval_stations(ans); double remaining_time = time_limit - (double)(clock()-start)/CLOCKS_PER_SEC; double temperature = start_temp; for(int iter = 0;; iter++){ clock_t cur_time = clock(); remaining_time = time_limit - (double)(cur_time-start)/CLOCKS_PER_SEC; temperature = end_temp + (start_temp-end_temp) * (remaining_time/time_limit); if(remaining_time < 0.0) { debug_value(iter) break; } int idx = mt()%m; int dx = (mt()%21)-10, dy = (mt()%21)-10; auto new_stations = ans; new_stations[idx].first += dx; chmax(new_stations[idx].first, 0); chmin(new_stations[idx].first, 1000); new_stations[idx].second += dy; chmax(new_stations[idx].second, 0); chmin(new_stations[idx].second, 1000); if(chmin(cur_score, eval_stations(new_stations))){ ans = new_stations; } } return ans; } class TspSolution{ public: int sz; ll len; vector<int> tour; vector<vector<ll>> dist; ll tour_len(){ ll len = 0; for(int i = 0; i < sz; i++){ int j = (i+1)%sz; len += dist[tour[i]][tour[j]]; } return len; } TspSolution(vector<int> tour, vector<vector<ll>> dist): sz(tour.size()), tour(tour), dist(dist){ len = tour_len(); } pair<int, int> suggest_two_opt(){ int i = (mt()%(sz-1)) + 1; int j = (mt()%(sz-1)) + 1; while(i == j) j = (mt()%(m-1)) + 1; if(i > j) swap(i, j); return make_pair(i, j); } ll swapped_diff(int i, int j){ int increase = dist[tour[i]][tour[j]] + dist[tour[(i+1)%sz]][tour[(j+1)%sz]]; int decrease = dist[tour[i]][tour[(i+1)%sz]] + dist[tour[j]][tour[(j+1)%sz]]; return increase-decrease; }; void apply_swap(int i, int j){ vector<int> new_tour; for(int k = 0; k <= i; k++) new_tour.push_back(tour[k]); for(int k = j; k >= i+1; k--) new_tour.push_back(tour[k]); for(int k = j+1; k < sz; k++) new_tour.push_back(tour[k]); tour = new_tour; len = tour_len(); }; }; vector<int> solve_tsp(const vector<vector<ll>> &dist, int s, double time_limit, double start_temp = 50000.0, double end_temp = 0.0){ clock_t start = clock(); auto sol = TspSolution(greedy_tour(dist, s), dist); // sa settings uniform_real_distribution<float> rand_dist(0.0, 1.0); auto accept_proba = [&](int diff, double temp){ return min(1.0, exp((double)-diff/temp)); }; auto try_two_opt = [&](double temperature){ auto [i, j] = sol.suggest_two_opt(); int diff = sol.swapped_diff(i, j); if(rand_dist(mt) <= accept_proba(diff, temperature)) sol.apply_swap(i, j); // if(diff < 0) sol.apply_swap(i, j); }; double remaining_time = time_limit - (double)(clock()-start)/CLOCKS_PER_SEC; double temperature = start_temp; for(int iter = 0;; iter++){ if(iter%100 == 0){ clock_t cur_time = clock(); remaining_time = time_limit - (double)(cur_time-start)/CLOCKS_PER_SEC; temperature = end_temp + (start_temp-end_temp) * (remaining_time/time_limit); } if(remaining_time < 0.0) { break; } try_two_opt(temperature); } auto ans = sol.tour; ans.push_back(s); return ans; } class Solution{ public: vector<P> stations; vector<int> tp; vector<int> idx; Solution(vector<P> stations, vector<int> tp, vector<int> idx): stations(stations), tp(tp), idx(idx) {} void output(){ for(auto [x, y]: stations) cout << x << ' ' << y << endl; int v = tp.size(); assert(idx.size() == v); cout << v << endl; for(int i = 0; i < v; i++) { cout << tp[i] << ' ' << idx[i]+1 << endl; } } ll eval(){ int v = tp.size(); auto get_x = [&](int tp, int idx){ if(tp == 1) return a[idx]; return stations[idx].first; }; auto get_y = [&](int tp, int idx){ if(tp == 1) return b[idx]; return stations[idx].second; }; ll s = 0; for(int i = 0; i < v-1; i++) { ll dx = get_x(tp[i], idx[i])-get_x(tp[i+1], idx[i+1]); ll dy = get_y(tp[i], idx[i])-get_y(tp[i+1], idx[i+1]); ll coef = (tp[i] == 1 ? 5 : 1)*(tp[i+1] == 1 ? 5 : 1); s += (dx*dx+dy*dy)*coef; } ll ans = round((double)1000000000/(1000+sqrt(s))); return ans; } void improve_stations(double time_limit, int max_slide, double start_temp = 500.0, double end_temp = 0.0){ clock_t start = clock(); double remaining_time = time_limit - (double)(clock()-start)/CLOCKS_PER_SEC; double temperature = start_temp; ll cur_score = eval(); // sa settings uniform_real_distribution<float> rand_dist(0.0, 1.0); auto accept_proba = [&](int diff, double temp){ return min(1.0, exp((double)diff/temp)); }; for(int iter = 0;; iter++){ if(iter%100 == 0){ clock_t cur_time = clock(); remaining_time = time_limit - (double)(cur_time-start)/CLOCKS_PER_SEC; temperature = end_temp + (start_temp-end_temp) * (remaining_time/time_limit); } if(remaining_time < 0.0) { break; } auto prev_stations = stations; int dx = (mt()%(max_slide*2+1))-max_slide, dy = (mt()%(max_slide*2+1))-max_slide; int idx = mt()%m; stations[idx].first += dx; chmax(stations[idx].first, 0); chmin(stations[idx].first, 1000); stations[idx].second += dy; chmax(stations[idx].second, 0); chmin(stations[idx].second, 1000); ll new_score = eval(); int diff = new_score-cur_score; if(rand_dist(mt) <= accept_proba(diff, temperature)){ cur_score = new_score; }else{ stations = prev_stations; } } } }; Solution solve(){ auto g = vec2d(n+m, n+m, infll); auto coef = [](int i, int j){ if(i < n && j < n) return 25; if(i < n || j < n) return 5; return 1; }; vector<P> planets(n); for(int i = 0; i < n; i++) planets[i] = P(a[i], b[i]); auto stations = k_means(planets); // stations = improve_stations_pre_solve(stations, 0.8); auto get_x = [&](int i){ if(i < n) return a[i]; return stations[i-n].first; }; auto get_y = [&](int i){ if(i < n) return b[i]; return stations[i-n].second; }; for(int i = 0; i < n+m; i++){ for(int j = i+1; j < n+m; j++){ ll dx = get_x(i)-get_x(j), dy = get_y(i)-get_y(j); ll dist = (dx*dx+dy*dy)*coef(i, j); g[i][j] = dist; g[j][i] = dist; } } auto dist = warshallfloyd(g); auto ord = solve_tsp(dist, 0, 0.1); assert(ord.size() == n+1); auto sol = Solution(stations, vector<int>(), vector<int>()); for(int i = 0; i < n; i++){ int s = ord[i], t = ord[i+1]; auto path = shortest_path(dist, g, s, t); auto add = [&](int idx){ if(idx < n) { sol.tp.push_back(1); sol.idx.push_back(idx); }else{ sol.tp.push_back(2); sol.idx.push_back(idx-n); } }; if(i == 0){ add(path[0]); } for(int j = 1; j < path.size(); j++){ add(path[j]); } } sol.improve_stations(0.8, 10); return sol; } int main(){ ios::sync_with_stdio(false); cin.tie(0); cout << setprecision(10) << fixed; get_input(); auto sol = solve(); sol.output(); cerr << sol.eval() << endl; }