mirror of
https://github.com/L-yang-yang/cugenopt.git
synced 2026-04-25 12:16:21 +02:00
284 lines
10 KiB
Text
284 lines
10 KiB
Text
|
/**
|
|||
|
|
* E8: P2 约束导向 + 分层搜索策略 A/B 测试
|
|||
|
|
*
|
|||
|
|
* 对比四种配置：
|
|||
|
|
* baseline: 仅 AOS（当前默认）
|
|||
|
|
* constraint: AOS + 约束导向
|
|||
|
|
* phased: AOS + 分层搜索
|
|||
|
|
* combined: AOS + 约束导向 + 分层搜索
|
|||
|
|
*
|
|||
|
|
* 测试问题：
|
|||
|
|
* - VRP A-n32-k5（中等约束）
|
|||
|
|
* - VRPTW 8客户（高约束：容量+时间窗）
|
|||
|
|
* - Priority-VRP A-n32-k5（高约束：容量+优先级偏序）
|
|||
|
|
* - TSP eil51（无约束 baseline，验证无回退）
|
|||
|
|
*
|
|||
|
|
* 时间预算：5s, 15s
|
|||
|
|
*/
|
|||
|
|
#include "bench_common.cuh"
|
|||
|
|
|
|||
|
|
struct PriorityVRPProblem : ProblemBase<PriorityVRPProblem, 8, 64> {
|
|||
|
|
const float* d_dist;
|
|||
|
|
const float* d_demand;
|
|||
|
|
const int* d_priority;
|
|||
|
|
const float* h_dist;
|
|||
|
|
int n, stride;
|
|||
|
|
float capacity;
|
|||
|
|
int num_vehicles, max_vehicles;
|
|||
|
|
GpuCache cache;
|
|||
|
|
|
|||
|
|
__device__ float compute_route_dist(const int* route, int size) const {
|
|||
|
|
if (size == 0) return 0.0f;
|
|||
|
|
float dist = 0.0f;
|
|||
|
|
int prev = 0;
|
|||
|
|
for (int j = 0; j < size; j++) {
|
|||
|
|
int node = route[j] + 1;
|
|||
|
|
dist += d_dist[prev * stride + node];
|
|||
|
|
prev = node;
|
|||
|
|
}
|
|||
|
|
dist += d_dist[prev * stride + 0];
|
|||
|
|
return dist;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
__device__ float calc_total_distance(const Sol& sol) const {
|
|||
|
|
float total = 0.0f;
|
|||
|
|
for (int r = 0; r < num_vehicles; r++)
|
|||
|
|
total += compute_route_dist(sol.data[r], sol.dim2_sizes[r]);
|
|||
|
|
return total;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
static constexpr ObjDef OBJ_DEFS[] = {{ObjDir::Minimize, 1.0f, 0.0f}};
|
|||
|
|
__device__ float compute_obj(int, const Sol& sol) const { return calc_total_distance(sol); }
|
|||
|
|
|
|||
|
|
__device__ float compute_penalty(const Sol& sol) const {
|
|||
|
|
float pen = 0.0f;
|
|||
|
|
int active = 0;
|
|||
|
|
for (int r = 0; r < num_vehicles; r++) {
|
|||
|
|
int size = sol.dim2_sizes[r];
|
|||
|
|
if (size == 0) continue;
|
|||
|
|
active++;
|
|||
|
|
float load = 0.0f;
|
|||
|
|
for (int j = 0; j < size; j++) load += d_demand[sol.data[r][j]];
|
|||
|
|
if (load > capacity) pen += (load - capacity) * 100.0f;
|
|||
|
|
int min_prio_seen = 3;
|
|||
|
|
for (int j = 0; j < size; j++) {
|
|||
|
|
int p = d_priority[sol.data[r][j]];
|
|||
|
|
if (p > min_prio_seen) pen += (float)(p - min_prio_seen) * 50.0f;
|
|||
|
|
if (p < min_prio_seen) min_prio_seen = p;
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
if (active > max_vehicles) pen += (float)(active - max_vehicles) * 1000.0f;
|
|||
|
|
return pen;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
ProblemConfig config() const {
|
|||
|
|
ProblemConfig cfg;
|
|||
|
|
cfg.encoding = EncodingType::Permutation;
|
|||
|
|
cfg.dim1 = num_vehicles; cfg.dim2_default = 0;
|
|||
|
|
fill_obj_config(cfg);
|
|||
|
|
cfg.cross_row_prob = 0.3f;
|
|||
|
|
cfg.row_mode = RowMode::Partition;
|
|||
|
|
cfg.total_elements = n;
|
|||
|
|
return cfg;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
static constexpr size_t SMEM_LIMIT = 48 * 1024;
|
|||
|
|
size_t shared_mem_bytes() const {
|
|||
|
|
size_t total = (size_t)stride * stride * sizeof(float)
|
|||
|
|
+ (size_t)n * sizeof(float) + (size_t)n * sizeof(int);
|
|||
|
|
return total <= SMEM_LIMIT ? total : 0;
|
|||
|
|
}
|
|||
|
|
size_t working_set_bytes() const {
|
|||
|
|
return (size_t)stride * stride * sizeof(float)
|
|||
|
|
+ (size_t)n * sizeof(float) + (size_t)n * sizeof(int);
|
|||
|
|
}
|
|||
|
|
__device__ void load_shared(char* smem, int tid, int bsz) {
|
|||
|
|
float* sd = reinterpret_cast<float*>(smem);
|
|||
|
|
int dist_size = stride * stride;
|
|||
|
|
for (int i = tid; i < dist_size; i += bsz) sd[i] = d_dist[i];
|
|||
|
|
d_dist = sd;
|
|||
|
|
float* sdem = sd + dist_size;
|
|||
|
|
for (int i = tid; i < n; i += bsz) sdem[i] = d_demand[i];
|
|||
|
|
d_demand = sdem;
|
|||
|
|
int* spri = reinterpret_cast<int*>(sdem + n);
|
|||
|
|
for (int i = tid; i < n; i += bsz) spri[i] = d_priority[i];
|
|||
|
|
d_priority = spri;
|
|||
|
|
}
|
|||
|
|
void init_relation_matrix(float* G, float* O, int N) const {
|
|||
|
|
if (!h_dist || N != n) return;
|
|||
|
|
float max_d = 0.0f;
|
|||
|
|
for (int i = 0; i < N; i++)
|
|||
|
|
for (int j = 0; j < N; j++) {
|
|||
|
|
float d = h_dist[(i+1)*stride+(j+1)];
|
|||
|
|
if (d > max_d) max_d = d;
|
|||
|
|
}
|
|||
|
|
if (max_d <= 0.0f) return;
|
|||
|
|
for (int i = 0; i < N; i++)
|
|||
|
|
for (int j = 0; j < N; j++) {
|
|||
|
|
if (i == j) continue;
|
|||
|
|
float d = h_dist[(i+1)*stride+(j+1)];
|
|||
|
|
float prox = 1.0f - d / max_d;
|
|||
|
|
G[i*N+j] = prox * 0.3f;
|
|||
|
|
O[i*N+j] = prox * 0.1f;
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
static PriorityVRPProblem create(const float* h_dist_ptr, const float* h_demand,
|
|||
|
|
const int* h_priority, int n, float cap,
|
|||
|
|
int nv, int mv) {
|
|||
|
|
PriorityVRPProblem prob;
|
|||
|
|
prob.n = n; prob.stride = n+1; prob.capacity = cap;
|
|||
|
|
prob.num_vehicles = nv; prob.max_vehicles = mv;
|
|||
|
|
prob.cache = GpuCache::disabled(); prob.h_dist = h_dist_ptr;
|
|||
|
|
int nn = n+1;
|
|||
|
|
float* dd; CUDA_CHECK(cudaMalloc(&dd, sizeof(float)*nn*nn));
|
|||
|
|
CUDA_CHECK(cudaMemcpy(dd, h_dist_ptr, sizeof(float)*nn*nn, cudaMemcpyHostToDevice));
|
|||
|
|
prob.d_dist = dd;
|
|||
|
|
float* ddem; CUDA_CHECK(cudaMalloc(&ddem, sizeof(float)*n));
|
|||
|
|
CUDA_CHECK(cudaMemcpy(ddem, h_demand, sizeof(float)*n, cudaMemcpyHostToDevice));
|
|||
|
|
prob.d_demand = ddem;
|
|||
|
|
int* dpri; CUDA_CHECK(cudaMalloc(&dpri, sizeof(int)*n));
|
|||
|
|
CUDA_CHECK(cudaMemcpy(dpri, h_priority, sizeof(int)*n, cudaMemcpyHostToDevice));
|
|||
|
|
prob.d_priority = dpri;
|
|||
|
|
return prob;
|
|||
|
|
}
|
|||
|
|
void destroy() {
|
|||
|
|
if (d_dist) { cudaFree(const_cast<float*>(d_dist)); d_dist = nullptr; }
|
|||
|
|
if (d_demand) { cudaFree(const_cast<float*>(d_demand)); d_demand = nullptr; }
|
|||
|
|
if (d_priority) { cudaFree(const_cast<int*>(d_priority)); d_priority = nullptr; }
|
|||
|
|
h_dist = nullptr; cache.destroy();
|
|||
|
|
}
|
|||
|
|
};
|
|||
|
|
|
|||
|
|
static const int an32k5_priority[AN32K5_N] = {
|
|||
|
|
2,2,2,2,2,2,2,2,2,2, 1,1,1,1,1,1,1,1,1,1,1, 0,0,0,0,0,0,0,0,0,0
|
|||
|
|
};
|
|||
|
|
|
|||
|
|
struct ConfigVariant {
|
|||
|
|
const char* name;
|
|||
|
|
bool constraint_directed;
|
|||
|
|
bool phased_search;
|
|||
|
|
};
|
|||
|
|
|
|||
|
|
static const ConfigVariant VARIANTS[] = {
|
|||
|
|
{"baseline", false, false},
|
|||
|
|
{"constraint", true, false},
|
|||
|
|
{"phased", false, true},
|
|||
|
|
{"combined", true, true},
|
|||
|
|
};
|
|||
|
|
static const int NUM_VARIANTS = 4;
|
|||
|
|
|
|||
|
|
static SolverConfig make_p2_config(float seconds, const ConfigVariant& v) {
|
|||
|
|
SolverConfig c = make_timed_config(seconds);
|
|||
|
|
c.use_constraint_directed = v.constraint_directed;
|
|||
|
|
c.use_phased_search = v.phased_search;
|
|||
|
|
return c;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
static void run_vrp() {
|
|||
|
|
fprintf(stderr, "\n=== VRP A-n32-k5 ===\n");
|
|||
|
|
float dist[AN32K5_NODES * AN32K5_NODES];
|
|||
|
|
compute_euc2d_dist(dist, an32k5_coords, AN32K5_NODES);
|
|||
|
|
|
|||
|
|
float budgets[] = {5.0f, 15.0f};
|
|||
|
|
for (float t : budgets) {
|
|||
|
|
for (int v = 0; v < NUM_VARIANTS; v++) {
|
|||
|
|
char cfg_name[64];
|
|||
|
|
snprintf(cfg_name, sizeof(cfg_name), "%s_%.0fs", VARIANTS[v].name, t);
|
|||
|
|
SolverConfig c = make_p2_config(t, VARIANTS[v]);
|
|||
|
|
bench_run_recreate("VRP-A32k5", cfg_name,
|
|||
|
|
[&]() { return VRPProblem::create(dist, an32k5_demands, AN32K5_N, 100.0f, 5, 5); },
|
|||
|
|
c, 784.0f);
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
static void run_vrptw() {
|
|||
|
|
fprintf(stderr, "\n=== VRPTW 8-customer ===\n");
|
|||
|
|
|
|||
|
|
const int N = 8;
|
|||
|
|
const int NODES = N + 1;
|
|||
|
|
float coords[NODES][2] = {
|
|||
|
|
{40,40}, {22,22},{36,26},{21,45},{45,35},{55,20},{33,34},{50,50},{55,45}
|
|||
|
|
};
|
|||
|
|
float demand[N] = {10,20,10,10,20,10,20,10};
|
|||
|
|
float earliest[NODES] = {0, 0, 5, 0, 10, 0, 0, 15, 0};
|
|||
|
|
float latest[NODES] = {999,50,40,60,80,45,70,90,55};
|
|||
|
|
float service[NODES] = {0, 10,10,10,10,10,10,10,10};
|
|||
|
|
float capacity = 40.0f;
|
|||
|
|
int num_vehicles = 3, max_vehicles = 3;
|
|||
|
|
|
|||
|
|
float dist[NODES * NODES];
|
|||
|
|
for (int i = 0; i < NODES; i++)
|
|||
|
|
for (int j = 0; j < NODES; j++) {
|
|||
|
|
float dx = coords[i][0] - coords[j][0];
|
|||
|
|
float dy = coords[i][1] - coords[j][1];
|
|||
|
|
dist[i * NODES + j] = sqrtf(dx*dx + dy*dy);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
float budgets[] = {5.0f, 15.0f};
|
|||
|
|
for (float t : budgets) {
|
|||
|
|
for (int v = 0; v < NUM_VARIANTS; v++) {
|
|||
|
|
char cfg_name[64];
|
|||
|
|
snprintf(cfg_name, sizeof(cfg_name), "%s_%.0fs", VARIANTS[v].name, t);
|
|||
|
|
SolverConfig c = make_p2_config(t, VARIANTS[v]);
|
|||
|
|
bench_run_recreate("VRPTW-8", cfg_name,
|
|||
|
|
[&]() {
|
|||
|
|
return VRPTWProblem::create(
|
|||
|
|
dist, demand, earliest, latest, service,
|
|||
|
|
N, capacity, num_vehicles, max_vehicles);
|
|||
|
|
},
|
|||
|
|
c, 0.0f);
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
static void run_priority_vrp() {
|
|||
|
|
fprintf(stderr, "\n=== Priority-VRP A-n32-k5 ===\n");
|
|||
|
|
float dist[AN32K5_NODES * AN32K5_NODES];
|
|||
|
|
compute_euc2d_dist(dist, an32k5_coords, AN32K5_NODES);
|
|||
|
|
|
|||
|
|
float budgets[] = {5.0f, 15.0f};
|
|||
|
|
for (float t : budgets) {
|
|||
|
|
for (int v = 0; v < NUM_VARIANTS; v++) {
|
|||
|
|
char cfg_name[64];
|
|||
|
|
snprintf(cfg_name, sizeof(cfg_name), "%s_%.0fs", VARIANTS[v].name, t);
|
|||
|
|
SolverConfig c = make_p2_config(t, VARIANTS[v]);
|
|||
|
|
bench_run_recreate("PrioVRP-A32k5", cfg_name,
|
|||
|
|
[&]() {
|
|||
|
|
return PriorityVRPProblem::create(
|
|||
|
|
dist, an32k5_demands, an32k5_priority,
|
|||
|
|
AN32K5_N, 100.0f, 5, 5);
|
|||
|
|
},
|
|||
|
|
c, 784.0f);
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
static void run_tsp_sanity() {
|
|||
|
|
fprintf(stderr, "\n=== TSP eil51 (sanity check, no constraints) ===\n");
|
|||
|
|
float dist[EIL51_N * EIL51_N];
|
|||
|
|
compute_euc2d_dist(dist, eil51_coords, EIL51_N);
|
|||
|
|
|
|||
|
|
float budgets[] = {5.0f};
|
|||
|
|
for (float t : budgets) {
|
|||
|
|
for (int v = 0; v < NUM_VARIANTS; v++) {
|
|||
|
|
char cfg_name[64];
|
|||
|
|
snprintf(cfg_name, sizeof(cfg_name), "%s_%.0fs", VARIANTS[v].name, t);
|
|||
|
|
SolverConfig c = make_p2_config(t, VARIANTS[v]);
|
|||
|
|
bench_run_tsp<void>("eil51", cfg_name, EIL51_N, dist, c, 426.0f, 3);
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
int main() {
|
|||
|
|
bench_init();
|
|||
|
|
bench_csv_header();
|
|||
|
|
run_vrp();
|
|||
|
|
run_vrptw();
|
|||
|
|
run_priority_vrp();
|
|||
|
|
run_tsp_sanity();
|
|||
|
|
fprintf(stderr, "\n[e8] P2 search strategy A/B test completed.\n");
|
|||
|
|
return 0;
|
|||
|
|
}
|