結果
| 問題 | No.5023 Airlines Optimization |
| コンテスト | |
| ユーザー |
e869120
|
| 提出日時 | 2026-02-23 12:45:15 |
| 言語 | C++17 (gcc 15.2.0 + boost 1.89.0) |
| 結果 |
AC
|
| 実行時間 | 954 ms / 1,000 ms |
| コード長 | 12,065 bytes |
| 記録 | |
| コンパイル時間 | 2,954 ms |
| コンパイル使用メモリ | 164,360 KB |
| 実行使用メモリ | 43,740 KB |
| スコア | 57,899,890 |
| 最終ジャッジ日時 | 2026-02-25 20:49:21 |
| 合計ジャッジ時間 | 103,966 ms |
|
ジャッジサーバーID (参考情報) |
judge3 / judge6 |
| 純コード判定しない問題か言語 |
(要ログイン)
| ファイルパターン | 結果 |
|---|---|
| other | AC * 100 |
ソースコード
#pragma GCC optimize("O3")
#include <iostream>
#include <vector>
#include <cmath>
#include <string>
#include <algorithm>
#include <chrono>
#include <random>
using namespace std;
int N, M, K;
double R;
vector<int> X, Y, W;
double req_time[50][50];
long long pair_weight[50][50];
bool valid_pair[50][50];
struct Flight {
int u, v, dep, arr;
bool operator<(const Flight& o) const {
return dep > o.dep; // 出発時刻の降順 (逆順DP用)
}
};
vector<Flight> sq_flights;
int sq_latest[50][50][21];
int ci_latest[50][50][21];
vector<int> city_candidates;
vector<int> active_t_list[50];
vector<int> sq_deps_from[50];
// 累積和配列
int sq_win_cum[50][50][22][182];
mt19937 rnd(42);
int time_to_slot(const string& t) {
int h = stoi(t.substr(0, 2));
int m = stoi(t.substr(3, 2));
return (h - 6) * 12 + m / 5;
}
string slot_to_time(int slot) {
int h = 6 + slot / 12;
int m = (slot % 12) * 5;
char buf[10];
snprintf(buf, sizeof(buf), "%02d:%02d", h, m);
return string(buf);
}
int get_rand_city() {
return city_candidates[rnd() % city_candidates.size()];
}
// ★ 追加: 直前の都市 u からの移動時間 d に応じて確率を 1 / max(1, d) 倍する
int get_rand_city_near(int u) {
if (u == -1) return get_rand_city(); // 基準がない場合は完全ランダム
while (true) {
int v = get_rand_city();
if (u == v) continue;
// 1スロット=5分なので、12で割ると「時間(hour)」になる
double d_hours = req_time[u][v] / 12.0;
// 採用確率: 1 / max(1, d)
double prob = pow(1.0 / max(1.0, d_hours), 4.0);
if ((double)(rnd() % 10000) / 10000.0 <= prob) {
return v;
}
}
}
void calc_sq_latest(const vector<Flight>& flights, int latest[50][50][21]) {
for (int j = 0; j < N; ++j) {
for (int t_idx = 0; t_idx < 21; ++t_idx) {
for (int u = 0; u < N; ++u) {
latest[u][j][t_idx] = -1;
}
latest[j][j][t_idx] = 60 + t_idx * 6;
}
}
for (const auto& f : flights) {
for (int j = 0; j < N; ++j) {
for (int t_idx = 0; t_idx < 21; ++t_idx) {
if (latest[f.v][j][t_idx] >= f.arr) {
if (f.dep > latest[f.u][j][t_idx]) {
latest[f.u][j][t_idx] = f.dep;
}
}
}
}
}
}
int get_delayed_dep(int u, int cur_time) {
int dep_time = cur_time;
bool delayed = true;
while (delayed) {
delayed = false;
for (int sq_dep : sq_deps_from[u]) {
if (sq_dep >= dep_time && sq_dep <= dep_time + 1) {
dep_time = sq_dep + 1;
delayed = true;
}
}
}
return dep_time;
}
void adjust_seq(vector<int>& seq) {
if (seq.empty()) seq.push_back(get_rand_city_near(-1));
int cur_time = 0;
vector<int> nseq;
nseq.push_back(seq[0]);
for (int i = 1; i < seq.size(); ++i) {
if (nseq.back() == seq[i]) continue;
int u = nseq.back();
int v = seq[i];
int dep_time = get_delayed_dep(u, cur_time);
int req = req_time[u][v];
if (dep_time + req <= 180) {
cur_time = dep_time + req;
nseq.push_back(v);
} else {
break;
}
}
while (true) {
int u = nseq.back();
// ★ 変更: 距離に応じた確率で次の都市を選ぶ
int v = get_rand_city_near(u);
int dep_time = get_delayed_dep(u, cur_time);
int req = req_time[u][v];
if (dep_time + req <= 180) {
cur_time = dep_time + req;
nseq.push_back(v);
} else {
break;
}
}
seq = nseq;
}
vector<Flight> get_flights_for_plane(const vector<int>& seq) {
vector<Flight> res;
int cur_time = 0;
for (int i = 0; i + 1 < seq.size(); ++i) {
int u = seq[i];
int v = seq[i + 1];
int dep_time = get_delayed_dep(u, cur_time);
int req = req_time[u][v];
res.push_back({u, v, dep_time, dep_time + req});
cur_time = dep_time + req;
}
return res;
}
long long eval(vector<Flight> ci_flights) {
sort(ci_flights.begin(), ci_flights.end());
for (int j = 0; j < N; ++j) {
bool active[21] = {false};
for (const auto& f : ci_flights) {
if (f.v == j) {
int t = (f.arr <= 60) ? 0 : (f.arr - 60 + 5) / 6;
if (t >= 0 && t < 21) active[t] = true;
}
}
active_t_list[j].clear();
for (int t = 0; t < 21; ++t) {
if (active[t]) {
active_t_list[j].push_back(t);
}
}
}
for (int j = 0; j < N; ++j) {
for (int t_idx : active_t_list[j]) {
for (int u = 0; u < N; ++u) {
ci_latest[u][j][t_idx] = -1;
}
ci_latest[j][j][t_idx] = 60 + t_idx * 6;
}
}
for (const auto& f : ci_flights) {
for (int j = 0; j < N; ++j) {
for (int t_idx : active_t_list[j]) {
if (ci_latest[f.v][j][t_idx] >= f.arr) {
if (f.dep > ci_latest[f.u][j][t_idx]) {
ci_latest[f.u][j][t_idx] = f.dep;
}
}
}
}
}
long long v_ci = 0;
for (int j = 0; j < N; ++j) {
int num_active = active_t_list[j].size();
for (int m = 0; m < num_active; ++m) {
int eff_t = active_t_list[j][m];
int t_start = eff_t;
int t_end = (m + 1 < num_active) ? active_t_list[j][m + 1] - 1 : 20;
for (int i = 0; i < N; ++i) {
if (!valid_pair[i][j]) continue;
int ci_val = ci_latest[i][j][eff_t];
if (ci_val == -1) continue;
int safe_ci_val = ci_val > 180 ? 180 : ci_val;
int wins = sq_win_cum[i][j][t_end + 1][safe_ci_val] - sq_win_cum[i][j][t_start][safe_ci_val];
v_ci += pair_weight[i][j] * wins;
}
}
}
return v_ci;
}
int main() {
ios_base::sync_with_stdio(false);
cin.tie(NULL);
auto start_time = chrono::high_resolution_clock::now();
if (!(cin >> N >> R)) return 0;
X.resize(N); Y.resize(N); W.resize(N);
for (int i = 0; i < N; ++i) {
cin >> X[i] >> Y[i] >> W[i];
int cnt = W[i] / 100000;
if (cnt <= 0) cnt = 1;
for (int c = 0; c < cnt; ++c) city_candidates.push_back(i);
}
for (int i = 0; i < N; ++i) {
for (int j = 0; j < N; ++j) {
double d = hypot(X[i] - X[j], Y[i] - Y[j]);
double exact_time = d / 800.0 * 60.0 + 40.0;
req_time[i][j] = ceil(exact_time / 5.0);
valid_pair[i][j] = (d >= 0.25 * R && i != j);
pair_weight[i][j] = (long long)W[i] * W[j];
}
}
cin >> M;
for (int i = 0; i < M; ++i) {
int u, v; string s, t;
cin >> u >> s >> v >> t;
--u; --v;
int dep_slot = time_to_slot(s);
int arr_slot = time_to_slot(t);
sq_flights.push_back({u, v, dep_slot, arr_slot});
sq_deps_from[u].push_back(dep_slot);
}
for (int i = 0; i < N; ++i) {
sort(sq_deps_from[i].begin(), sq_deps_from[i].end());
sq_deps_from[i].erase(unique(sq_deps_from[i].begin(), sq_deps_from[i].end()), sq_deps_from[i].end());
}
sort(sq_flights.begin(), sq_flights.end());
calc_sq_latest(sq_flights, sq_latest);
for (int i = 0; i < N; ++i) {
for (int j = 0; j < N; ++j) {
if (!valid_pair[i][j]) continue;
for (int X_val = 0; X_val <= 180; ++X_val) {
int cnt = 0;
sq_win_cum[i][j][0][X_val] = 0;
for (int t = 0; t < 21; ++t) {
if (sq_latest[i][j][t] < X_val) {
cnt++;
}
sq_win_cum[i][j][t + 1][X_val] = cnt;
}
}
}
}
cin >> K;
vector<vector<int>> best_seqs;
vector<Flight> fixed_flights;
double total_limit = 0.95;
for (int k = 0; k < K; ++k) {
vector<int> cur_seq;
adjust_seq(cur_seq);
vector<Flight> cur_flights = get_flights_for_plane(cur_seq);
vector<Flight> test_flights = fixed_flights;
test_flights.insert(test_flights.end(), cur_flights.begin(), cur_flights.end());
long long cur_score = eval(test_flights);
long long best_k_score = cur_score;
vector<int> best_k_seq = cur_seq;
double T0 = 1e12;
double T1 = 1e9;
int iter = 0;
double end_time_for_k = total_limit * (k + 1) / K;
double start_time_for_k = total_limit * k / K;
double time_allocated = end_time_for_k - start_time_for_k;
while (true) {
if ((iter & 63) == 0) {
double elapsed = chrono::duration<double>(chrono::high_resolution_clock::now() - start_time).count();
if (elapsed > end_time_for_k) break;
double progress = max(0.0, min(1.0, (elapsed - start_time_for_k) / time_allocated));
double temp = T0 * pow(T1 / T0, progress);
int type = rnd() % 6;
vector<int> old_seq = cur_seq;
// ★ 変更: 近傍操作時も直前の都市からの距離を考慮して選ばせる
if (type == 0 && cur_seq.size() > 1) {
int idx = 1 + rnd() % (cur_seq.size() - 1);
cur_seq[idx] = get_rand_city_near(cur_seq[idx - 1]);
} else if (type == 1) {
int idx = rnd() % (cur_seq.size() + 1);
int prev_city = (idx == 0) ? -1 : cur_seq[idx - 1];
cur_seq.insert(cur_seq.begin() + idx, get_rand_city_near(prev_city));
} else if (type == 2 && cur_seq.size() > 2) {
int idx = rnd() % cur_seq.size();
cur_seq.erase(cur_seq.begin() + idx);
} else if (type >= 3 && cur_seq.size() > 1) {
int idx1 = rnd() % cur_seq.size();
int idx2 = rnd() % cur_seq.size();
swap(cur_seq[idx1], cur_seq[idx2]);
}
adjust_seq(cur_seq);
vector<Flight> new_flights = get_flights_for_plane(cur_seq);
vector<Flight> eval_flights = fixed_flights;
eval_flights.insert(eval_flights.end(), new_flights.begin(), new_flights.end());
long long new_score = eval(eval_flights);
if (new_score >= cur_score || exp((new_score - cur_score) / temp) > (double)(rnd() % 10000) / 10000.0) {
cur_score = new_score;
if (cur_score > best_k_score) {
best_k_score = cur_score;
best_k_seq = cur_seq;
}
} else {
cur_seq = old_seq;
}
}
iter++;
}
best_seqs.push_back(best_k_seq);
vector<Flight> final_k_flights = get_flights_for_plane(best_k_seq);
fixed_flights.insert(fixed_flights.end(), final_k_flights.begin(), final_k_flights.end());
}
for (int k = 0; k < K; ++k) {
vector<Flight> f_list = get_flights_for_plane(best_seqs[k]);
cout << f_list.size() << "\n";
for (const auto& f : f_list) {
cout << f.u + 1 << " " << slot_to_time(f.dep) << " "
<< f.v + 1 << " " << slot_to_time(f.arr) << "\n";
}
}
return 0;
}
e869120