mirror of
https://github.com/L-yang-yang/cugenopt.git
synced 2026-04-25 12:16:21 +02:00
59 lines
1.9 KiB
Text
59 lines
1.9 KiB
Text
/**
|
||
* E1: GenSolver vs 通用 MIP (SCIP/CBC) — GPU 侧
|
||
*
|
||
* 目的:证明在复杂约束问题上,GenSolver 比 MIP 更快找到可行解
|
||
* 实例:TSP (N=51,100,150), VRP (A-n32-k5)
|
||
* 时间预算:1s, 10s, 60s
|
||
* 输出:CSV (instance,config,seed,obj,penalty,time_ms,gap_pct,generations,stop_reason)
|
||
*
|
||
* 用法:./gpu [all]
|
||
*/
|
||
#include "bench_common.cuh"
|
||
|
||
static void run_tsp_instances() {
|
||
TSPInstance instances[] = {
|
||
{"eil51", eil51_coords, EIL51_N, 426.0f},
|
||
{"kroA100", kroA100_coords, KROA100_N, 21282.0f},
|
||
{"ch150", CH150_coords, CH150_N, 6528.0f},
|
||
};
|
||
float time_budgets[] = {1.0f, 10.0f, 60.0f};
|
||
|
||
for (auto& inst : instances) {
|
||
fprintf(stderr, " [e1] TSP %s (n=%d)\n", inst.name, inst.n);
|
||
float* dist = new float[inst.n * inst.n];
|
||
compute_euc2d_dist(dist, inst.coords, inst.n);
|
||
|
||
for (float t : time_budgets) {
|
||
char cfg[64];
|
||
snprintf(cfg, sizeof(cfg), "gensolver_%.0fs", t);
|
||
SolverConfig c = make_timed_config(t);
|
||
bench_run_tsp<void>(inst.name, cfg, inst.n, dist, c, inst.optimal);
|
||
}
|
||
delete[] dist;
|
||
}
|
||
}
|
||
|
||
static void run_vrp_instances() {
|
||
fprintf(stderr, " [e1] VRP A-n32-k5\n");
|
||
float dist[AN32K5_NODES * AN32K5_NODES];
|
||
compute_euc2d_dist(dist, an32k5_coords, AN32K5_NODES);
|
||
|
||
float time_budgets[] = {1.0f, 10.0f, 60.0f};
|
||
for (float t : time_budgets) {
|
||
char cfg[64];
|
||
snprintf(cfg, sizeof(cfg), "gensolver_%.0fs", t);
|
||
SolverConfig c = make_timed_config(t);
|
||
bench_run_recreate("A-n32-k5", cfg,
|
||
[&]() { return VRPProblem::create(dist, an32k5_demands, AN32K5_N, 100.0f, 5, 5); },
|
||
c, 784.0f);
|
||
}
|
||
}
|
||
|
||
int main(int argc, char** argv) {
|
||
bench_init();
|
||
bench_csv_header();
|
||
run_tsp_instances();
|
||
run_vrp_instances();
|
||
fprintf(stderr, "\n[e1] GPU side completed.\n");
|
||
return 0;
|
||
}
|