結果
| 問題 | No.5023 Airlines Optimization |
| コンテスト | |
| ユーザー |
てんぷら
|
| 提出日時 | 2026-02-25 22:58:14 |
| 言語 | C++23 (gcc 15.2.0 + boost 1.89.0) |
| 結果 |
AC
|
| 実行時間 | 992 ms / 1,000 ms |
| コード長 | 18,360 bytes |
| 記録 | |
| コンパイル時間 | 9,259 ms |
| コンパイル使用メモリ | 258,284 KB |
| 実行使用メモリ | 7,848 KB |
| スコア | 49,002,086 |
| 最終ジャッジ日時 | 2026-02-25 23:00:25 |
| 合計ジャッジ時間 | 87,520 ms |
|
ジャッジサーバーID (参考情報) |
judge1 / judge2 |
| 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
#include <algorithm>
#include <array>
#include <cmath>
#include <cstdint>
#include <iomanip>
#include <iostream>
#include <numeric>
#include <string>
#include <tuple>
#include <utility>
#include <vector>
using namespace std;
using ll = long long;
struct City {
int x, y;
ll w;
};
struct Flight {
int a, b;
int s, t;
};
struct PlanePlan {
vector<int> route;
int offset = 0;
int duration = 0;
};
struct DemandTerm {
int src, dst;
long double w;
array<int, 21> sq;
};
constexpr int START_HOUR = 6;
constexpr int END_HOUR = 21;
constexpr int SLOT_MIN = 5;
constexpr int MAX_SLOT = (END_HOUR - START_HOUR) * 60 / SLOT_MIN; // 180
constexpr int TARGET_CNT = 21;
constexpr int TARGET_START = (11 - START_HOUR) * 60 / SLOT_MIN; // 60
constexpr int TARGET_STEP = 30 / SLOT_MIN; // 6
constexpr int NEG_INF = -1e9;
int parseTimeToSlot(const string &s) {
auto pos = s.find(':');
int hh = stoi(s.substr(0, pos));
int mm = stoi(s.substr(pos + 1));
return (hh * 60 + mm - START_HOUR * 60) / SLOT_MIN;
}
string slotToTime(int slot) {
int total = START_HOUR * 60 + slot * SLOT_MIN;
int hh = total / 60;
int mm = total % 60;
char buf[16];
snprintf(buf, sizeof(buf), "%02d:%02d", hh, mm);
return string(buf);
}
int calcDurationSlot(const City &c1, const City &c2) {
double dx = double(c1.x) - double(c2.x);
double dy = double(c1.y) - double(c2.y);
double d = sqrt(dx * dx + dy * dy);
double minutes = 60.0 * d / 800.0 + 40.0;
return (int)ceil(minutes / 5.0 - 1e-12);
}
int routeDuration(const vector<int> &route, const vector<vector<int>> &dur) {
int total = 0;
for(int i = 1; i < (int)route.size(); ++i) {
if(route[i - 1] == route[i])
return MAX_SLOT + 1;
total += dur[route[i - 1]][route[i]];
if(total > MAX_SLOT)
return total;
}
return total;
}
void normalizePlane(PlanePlan &p, const vector<vector<int>> &dur) {
if(p.route.empty())
p.route.push_back(0);
vector<int> fixed;
fixed.reserve(p.route.size());
fixed.push_back(p.route[0]);
for(int i = 1; i < (int)p.route.size(); ++i) {
if(p.route[i] != p.route[i - 1])
fixed.push_back(p.route[i]);
}
p.route.swap(fixed);
if(p.route.empty())
p.route.push_back(0);
p.duration = routeDuration(p.route, dur);
while(p.duration > MAX_SLOT && (int)p.route.size() > 1) {
p.route.pop_back();
p.duration = routeDuration(p.route, dur);
}
int lim = max(0, MAX_SLOT - p.duration);
p.offset = min(max(0, p.offset), lim);
}
void appendPlaneFlights(const PlanePlan &p, const vector<vector<int>> &dur, vector<Flight> &out) {
int tm = p.offset;
for(int i = 1; i < (int)p.route.size(); ++i) {
int a = p.route[i - 1];
int b = p.route[i];
int nt = tm + dur[a][b];
out.push_back({a, b, tm, nt});
tm = nt;
}
}
vector<Flight> flattenPlans(const vector<PlanePlan> &plans, const vector<vector<int>> &dur) {
vector<Flight> flights;
for(const auto &p : plans)
appendPlaneFlights(p, dur, flights);
return flights;
}
struct ScoreEvaluator {
int N;
uint64_t allMask;
explicit ScoreEvaluator(int n) : N(n) {
allMask = (N == 64 ? ~0ULL : ((1ULL << N) - 1));
}
vector<vector<Flight>> buildByStart(const vector<Flight> &flights, int target) const {
vector<vector<Flight>> byStart(target + 1);
for(const auto &f : flights) {
if(f.s < 0 || f.s > target || f.t < 0 || f.t > target)
continue;
byStart[f.s].push_back(f);
}
return byStart;
}
vector<vector<int>> latestMatrixForTarget(const vector<vector<Flight>> &byStart, int target) const {
vector<vector<uint64_t>> reach(target + 1, vector<uint64_t>(N, 0ULL));
for(int c = 0; c < N; ++c)
reach[target][c] = (1ULL << c);
for(int tm = target - 1; tm >= 0; --tm) {
for(int c = 0; c < N; ++c)
reach[tm][c] = reach[tm + 1][c];
for(const auto &f : byStart[tm]) {
reach[tm][f.a] |= reach[f.t][f.b];
}
}
vector<vector<int>> latest(N, vector<int>(N, NEG_INF));
for(int src = 0; src < N; ++src) {
uint64_t rem = allMask;
for(int tm = target; tm >= 0 && rem; --tm) {
uint64_t m = reach[tm][src] & rem;
while(m) {
int dst = __builtin_ctzll(m);
latest[src][dst] = tm;
rem &= ~(1ULL << dst);
m &= (m - 1);
}
}
}
return latest;
}
vector<vector<vector<int>>> precomputeSqBest(const vector<Flight> &sqFlights) const {
vector<vector<vector<int>>> sqBest(TARGET_CNT, vector<vector<int>>(N, vector<int>(N, NEG_INF)));
for(int k = 0; k < TARGET_CNT; ++k) {
int target = TARGET_START + TARGET_STEP * k;
auto byStart = buildByStart(sqFlights, target);
sqBest[k] = latestMatrixForTarget(byStart, target);
}
return sqBest;
}
vector<vector<vector<int>>> precomputeAllLatest(const vector<Flight> &flights) const {
vector<vector<Flight>> allByStart(MAX_SLOT + 1);
for(const auto &f : flights) {
if(0 <= f.s && f.s <= MAX_SLOT && 0 <= f.t && f.t <= MAX_SLOT)
allByStart[f.s].push_back(f);
}
vector<vector<vector<int>>> allLatest(MAX_SLOT + 1, vector<vector<int>>(N, vector<int>(N, NEG_INF)));
for(int deadline = 0; deadline <= MAX_SLOT; ++deadline) {
vector<vector<uint64_t>> reach(deadline + 1, vector<uint64_t>(N, 0ULL));
for(int c = 0; c < N; ++c)
reach[deadline][c] = (1ULL << c);
for(int tm = deadline - 1; tm >= 0; --tm) {
for(int c = 0; c < N; ++c)
reach[tm][c] = reach[tm + 1][c];
for(const auto &f : allByStart[tm]) {
if(f.t <= deadline)
reach[tm][f.a] |= reach[f.t][f.b];
}
}
for(int src = 0; src < N; ++src) {
uint64_t rem = allMask;
for(int tm = deadline; tm >= 0 && rem; --tm) {
uint64_t m = reach[tm][src] & rem;
while(m) {
int dst = __builtin_ctzll(m);
allLatest[deadline][src][dst] = tm;
rem &= ~(1ULL << dst);
m &= (m - 1);
}
}
}
}
return allLatest;
}
double score(
const vector<Flight> &ciFlights,
const vector<DemandTerm> &demands) const {
long double vSq = 0.0L, vCi = 0.0L;
for(int k = 0; k < TARGET_CNT; ++k) {
int target = TARGET_START + TARGET_STEP * k;
auto byStart = buildByStart(ciFlights, target);
auto latest = latestMatrixForTarget(byStart, target);
for(const auto &d : demands) {
if(d.sq[k] < latest[d.src][d.dst])
vCi += d.w;
else
vSq += d.w;
}
}
long double den = vSq + vCi;
if(den <= 0.0L)
return 0.0;
return (double)(vCi / den);
}
};
PlanePlan buildCyclicPlan(
const vector<int> &cycle,
int offset,
const vector<vector<int>> &dur) {
PlanePlan p;
if(cycle.empty())
return p;
p.route.push_back(cycle[0]);
p.offset = offset;
int tm = offset;
int cur = cycle[0];
int idx = 1 % (int)cycle.size();
while(true) {
int nxt = cycle[idx];
if(nxt == cur)
break;
int nt = tm + dur[cur][nxt];
if(nt > MAX_SLOT)
break;
p.route.push_back(nxt);
tm = nt;
cur = nxt;
idx = (idx + 1) % (int)cycle.size();
}
p.duration = tm - offset;
normalizePlane(p, dur);
return p;
}
int main() {
ios::sync_with_stdio(false);
cin.tie(nullptr);
int N, R;
cin >> N >> R;
vector<City> cities(N);
for(int i = 0; i < N; ++i)
cin >> cities[i].x >> cities[i].y >> cities[i].w;
int M;
cin >> M;
vector<Flight> sqFlights(M);
for(int i = 0; i < M; ++i) {
int a, b;
string ss, tt;
cin >> a >> ss >> b >> tt;
--a;
--b;
sqFlights[i] = {a, b, parseTimeToSlot(ss), parseTimeToSlot(tt)};
}
int K;
cin >> K;
vector<vector<int>> dur(N, vector<int>(N, 0));
for(int i = 0; i < N; ++i) {
for(int j = 0; j < N; ++j)
if(i != j)
dur[i][j] = calcDurationSlot(cities[i], cities[j]);
}
vector<vector<long double>> pairWeight(N, vector<long double>(N, 0.0L));
double threshold = 0.25 * R;
for(int i = 0; i < N; ++i) {
for(int j = 0; j < N; ++j) {
double dx = double(cities[i].x) - double(cities[j].x);
double dy = double(cities[i].y) - double(cities[j].y);
double d = sqrt(dx * dx + dy * dy);
if(d + 1e-12 >= threshold) {
pairWeight[i][j] = (long double)cities[i].w * (long double)cities[j].w;
}
}
}
ScoreEvaluator evaluator(N);
auto sqBest = evaluator.precomputeSqBest(sqFlights); // [k][src][dst]
vector<DemandTerm> demands;
demands.reserve(N * N);
for(int src = 0; src < N; ++src) {
for(int dst = 0; dst < N; ++dst) {
if(pairWeight[src][dst] == 0.0L)
continue;
DemandTerm d;
d.src = src;
d.dst = dst;
d.w = pairWeight[src][dst];
for(int k = 0; k < TARGET_CNT; ++k)
d.sq[k] = sqBest[k][src][dst];
demands.push_back(d);
}
}
vector<long double> cityScore(N, 0.0L);
for(int i = 0; i < N; ++i) {
long double s = (long double)cities[i].w * 1e6L;
for(int j = 0; j < N; ++j)
s += pairWeight[i][j] + pairWeight[j][i];
cityScore[i] = max((long double)1.0, s);
}
vector<int> cityOrd(N);
iota(cityOrd.begin(), cityOrd.end(), 0);
sort(cityOrd.begin(), cityOrd.end(), [&](int a, int b) {
return cityScore[a] > cityScore[b];
});
vector<PlanePlan> plans(K);
vector<vector<int>> routes(K);
vector<int> headCity(K), headTime(K), legCount(K, 0);
vector<int> cityUse(N, 0);
vector<vector<int>> edgeUse(N, vector<int>(N, 0));
for(int p = 0; p < K; ++p) {
int c = cityOrd[p % N];
routes[p].push_back(c);
headCity[p] = c;
headTime[p] = MAX_SLOT;
cityUse[c]++;
}
long double maxCityScore = 1.0L;
for(int i = 0; i < N; ++i)
maxCityScore = max(maxCityScore, cityScore[i]);
long double pairScale = 1.0L;
{
long double sum = 0.0L;
int cnt = 0;
for(int i = 0; i < N; ++i)
for(int j = 0; j < N; ++j)
if(i != j && pairWeight[i][j] > 0.0L) {
sum += pairWeight[i][j];
cnt++;
}
if(cnt > 0)
pairScale = max((long double)1.0, sum / (long double)cnt);
}
vector<Flight> currentFlights;
vector<vector<vector<int>>> latestAll = evaluator.precomputeAllLatest(currentFlights);
long double totalDen = 0.0L;
for(const auto &d : demands)
totalDen += d.w;
totalDen *= (long double)TARGET_CNT;
long double currentCi = 0.0L;
for(int k = 0; k < TARGET_CNT; ++k) {
int target = TARGET_START + TARGET_STEP * k;
for(const auto &d : demands) {
if(d.sq[k] < latestAll[target][d.src][d.dst])
currentCi += d.w;
}
}
double currentScore = (totalDen > 0.0L ? (double)(currentCi / totalDen) : 0.0);
auto calcDeltaCi = [&](int a, int b, int dep, int arr) -> long double {
long double deltaCi = 0.0L;
const auto &depMat = latestAll[dep];
for(int k = 0; k < TARGET_CNT; ++k) {
int target = TARGET_START + TARGET_STEP * k;
if(target < arr)
continue;
const auto &targetMat = latestAll[target];
for(const auto &d : demands) {
int pre = depMat[d.src][a];
if(pre == NEG_INF)
continue;
if(targetMat[b][d.dst] < arr)
continue;
int oldCi = targetMat[d.src][d.dst];
int newCi = max(oldCi, pre);
if(d.sq[k] < newCi && !(d.sq[k] < oldCi))
deltaCi += d.w;
}
}
return deltaCi;
};
auto applyFlightToLatestAll = [&](int a, int b, int dep, int arr) {
const auto &depMat = latestAll[dep];
for(int target = arr; target <= MAX_SLOT; ++target) {
auto &targetMat = latestAll[target];
vector<char> canAfter(N, 0);
for(int dst = 0; dst < N; ++dst) {
if(targetMat[b][dst] >= arr)
canAfter[dst] = 1;
}
for(int src = 0; src < N; ++src) {
int pre = depMat[src][a];
if(pre == NEG_INF)
continue;
for(int dst = 0; dst < N; ++dst) {
if(!canAfter[dst])
continue;
if(pre > targetMat[src][dst])
targetMat[src][dst] = pre;
}
}
}
};
int maxLegPerPlane = 14;
int maxTotalOps = K * maxLegPerPlane;
for(int op = 0; op < maxTotalOps; ++op) {
vector<tuple<long double, int, int, int, int>> ops; // gain, plane, from, dep, arr
ops.reserve(K * N);
for(int p = 0; p < K; ++p) {
if(legCount[p] >= maxLegPerPlane)
continue;
int b = headCity[p];
int arr = headTime[p];
for(int a = 0; a < N; ++a) {
if(a == b)
continue;
int dep = arr - dur[a][b];
if(dep < 0)
continue;
long double local = 0.0L;
long double base = pairWeight[a][b];
if(base > 0.0L) {
for(int k = 0; k < TARGET_CNT; ++k) {
int target = TARGET_START + TARGET_STEP * k;
if(arr <= target && dep > sqBest[k][a][b])
local += base;
}
}
long double gain = local / pairScale;
if(cityUse[a] == 0)
gain += 0.80L;
if(cityUse[b] == 0)
gain += 0.20L;
gain += 0.25L * (cityScore[a] / maxCityScore);
gain += 0.05L * ((long double)dep / (long double)MAX_SLOT);
gain -= 0.35L * (long double)edgeUse[a][b];
gain -= 0.08L * (long double)cityUse[a];
ops.emplace_back(gain, p, a, dep, arr);
}
}
if(ops.empty())
break;
sort(ops.begin(), ops.end(), [&](const auto &x, const auto &y) {
return get<0>(x) > get<0>(y);
});
int beam = min(300, (int)ops.size());
double bestScore = currentScore;
long double bestGain = get<0>(ops[0]);
long double bestDeltaCi = 0.0L;
int bestPlane = -1, bestFrom = -1, bestDep = -1, bestArr = -1;
for(int i = 0; i < beam; ++i) {
auto [hgain, p, a, dep, arr] = ops[i];
int b = headCity[p];
long double deltaCi = calcDeltaCi(a, b, dep, arr);
double s = (totalDen > 0.0L ? (double)((currentCi + deltaCi) / totalDen) : 0.0);
if(s > bestScore || (s == bestScore && hgain > bestGain)) {
bestScore = s;
bestGain = hgain;
bestDeltaCi = deltaCi;
bestPlane = p;
bestFrom = a;
bestDep = dep;
bestArr = arr;
}
}
if(bestPlane < 0) {
auto [hgain, p, a, dep, arr] = ops[0];
if(hgain < 0.10L)
break;
bestPlane = p;
bestFrom = a;
bestDep = dep;
bestArr = arr;
bestDeltaCi = calcDeltaCi(bestFrom, headCity[bestPlane], bestDep, bestArr);
} else if(bestScore < currentScore + 1e-15) {
if(bestGain < 0.10L)
break;
}
int b = headCity[bestPlane];
routes[bestPlane].insert(routes[bestPlane].begin(), bestFrom);
headCity[bestPlane] = bestFrom;
headTime[bestPlane] = bestDep;
legCount[bestPlane]++;
cityUse[bestFrom]++;
edgeUse[bestFrom][b]++;
currentFlights.push_back({bestFrom, b, bestDep, bestArr});
applyFlightToLatestAll(bestFrom, b, bestDep, bestArr);
currentCi += bestDeltaCi;
currentScore = (totalDen > 0.0L ? (double)(currentCi / totalDen) : 0.0);
}
for(int p = 0; p < K; ++p) {
PlanePlan pl;
pl.route = routes[p];
pl.offset = headTime[p];
normalizePlane(pl, dur);
plans[p] = pl;
}
vector<Flight> finalFlights = flattenPlans(plans, dur);
double finalScore = evaluator.score(finalFlights, demands);
vector<int> flownCity(N, 0);
for(const auto &f : finalFlights) {
flownCity[f.a] = 1;
flownCity[f.b] = 1;
}
for(int i = 0; i < K; ++i) {
const auto &p = plans[i];
cout << max(0, (int)p.route.size() - 1) << '\n';
int tm = p.offset;
for(int j = 1; j < (int)p.route.size(); ++j) {
int a = p.route[j - 1], b = p.route[j];
int nt = tm + dur[a][b];
cout << (a + 1) << ' ' << slotToTime(tm) << ' ' << (b + 1) << ' ' << slotToTime(nt) << '\n';
tm = nt;
}
}
cerr << fixed << setprecision(12)
<< "score=" << finalScore
<< " unique_cities=" << count(flownCity.begin(), flownCity.end(), 1)
<< " flights=" << finalFlights.size() << '\n';
return 0;
}
てんぷら