fix T-ALNS-RRD reproduction fidelity

2026-06-02 21:58:34 +08:00
parent d803a5bec0
commit 6d829fe7d9
12 changed files with 450 additions and 109 deletions
--- a/t_alns_rrd_reproduction/configs/paper.yaml
+++ b/t_alns_rrd_reproduction/configs/paper.yaml
@@ -0,0 +1,137 @@
+# Canonical paper-aligned configuration for T-ALNS-RRD reproduction.
+# This is the primary server-run config. It preserves the paper's controlled
+# mid-scale instance: 47 customers, 4 homogeneous vehicles, 120 kg capacity,
+# 12 one-hour traffic intervals from 6:00 to 18:00, and 30 seeds.
+
+problem:
+  n_customers: 47
+  n_vehicles: 4
+  depot_count: 1
+  vehicle_capacity_kg: 120
+  service_time_min: 4
+  area_width_km: 8.0
+  area_height_km: 10.0
+  operating_start: 360
+  operating_end: 1080
+  n_time_intervals: 12
+
+customers:
+  demand_min_kg: 3
+  demand_max_kg: 12
+  window_length_min: 60
+  window_length_max: 150
+  time_window_categories:
+    morning:
+      earliest: 540
+      latest: 720
+    afternoon:
+      earliest: 780
+      latest: 960
+    evening:
+      earliest: 1020
+      latest: 1200
+  num_clusters: 3
+  cluster_labels: ["residential", "commercial", "office"]
+
+roads:
+  types:
+    arterial:
+      speed_kmh: 45
+      proportion: 0.25
+    collector:
+      speed_kmh: 30
+      proportion: 0.35
+    residential:
+      speed_kmh: 20
+      proportion: 0.40
+  noise_std: 0.05
+  use_complete_graph: true
+
+traffic:
+  multipliers: [1.0, 1.0, 1.6, 1.6, 1.2, 1.2, 1.0, 1.0, 1.2, 1.2, 1.7, 1.7]
+  congestion_scale_theta: 50.0
+  risk_aversion_beta: 0.3
+  uncertainty_base: 0.05
+
+cost:
+  lambda_lateness: 1.0
+  lambda_congestion: 1.0
+  lambda_stability: 0.3
+
+alns:
+  max_iterations: 1000
+  time_limit_sec: 600
+  destroy_ratio_min: 0.1
+  destroy_ratio_max: 0.4
+  initial_temperature_factor: 0.05
+  cooling_rate: 0.99975
+  reaction_factor: 0.1
+  segment_length: 100
+  stall_limit: 200
+  max_attempts: 5
+  reward_global_best: 1.0
+  reward_improvement: 0.5
+  reward_accepted: 0.2
+  reward_rejected: 0.0
+
+tabu:
+  move_tabu:
+    tenure: 7
+    tenure_min: 3
+    tenure_max: 12
+    overlap_threshold: 0.5
+    stall_for_increase: 50
+  solution_tabu:
+    tenure: 15
+    buffer_size: 1000
+    hash_prime: 1000000007
+  frequency:
+    normalization_factor: 2
+    normalization_interval: 50
+  diversification:
+    delta_max: 0.7
+    eta_balance: 0.5
+    weights: [0.4, 0.3, 0.3]
+  aspiration:
+    beta_threshold: 0.3
+    gamma_threshold: 0.8
+
+rrd:
+  rollout:
+    horizon_min_min: 30
+    horizon_max_min: 120
+    urgency_alpha: 1.0
+    n_sim_min: 2
+    n_sim_max: 50
+    mc_iterations: 50
+    time_overhead_ms: 10
+    time_per_sim_ms: 50
+  dispatch:
+    weight_rollout: 0.4
+    weight_stability: 0.3
+    weight_recovery: 0.3
+  tabu:
+    penalty: 50.0
+    bonus: 25.0
+  events:
+    urgency_threshold: 0.5
+    event_probability: 0.3
+    event_check_interval: 10
+    weights:
+      E1_traffic: [0.5, 0.3, 0.2]
+      E2_urgent: [0.7, 0.1, 0.2]
+      E3_capacity: [0.3, 0.4, 0.3]
+      E4_timewindow: [0.8, 0.1, 0.1]
+    max_actions: 20
+
+experiments:
+  random_seeds: 30
+  seed_start: 1
+  report_mean_std: true
+  statistical_testing: true
+  sensitivity:
+    fleet_sizes: [2, 3, 4, 5, 6]
+    customer_counts: [30, 40, 47, 60]
+    capacities: [80, 100, 120, 140, 160]
+  robustness:
+    sigma_values: [0.1, 0.2, 0.3, 0.5]