• 2L-CVRP, 4–11, 18
• 3L-CVRP, 4, 11–17

A

• accuracy, 55, 70, 72–75
• AI (artificial intelligence), 152, 170, 171, 173, 196
• ANN (artificial neural networks), 202, 213, 214, 217, 219, 230, 231
• attention mechanism, 121, 124, 129–132, 139, 145, 146

B, C

• backhauls, 4, 9, 10, 14, 15
• Bidirectional Encoder
  • Representations from Transformers (BERT), 153, 156, 158, 160, 162–164
• classification, 153, 155, 157, 159, 162–164
• classifier, 55, 67–70, 72–75, 86–88
• collaborative filtering (CF), 121–123, 128, 131, 139, 144, 145
• communication, 174, 176, 183, 186, 196
• complexity, 55, 64, 70, 88
• content-based filtering, 134, 135, 139, 140
• Contractual Agent, 33, 35, 37
• control architecture, 169–171, 173, 174, 176, 177, 194, 196
• convolutional neural network (CNN), 153, 155–157, 160, 163, 164
• cooperation, 170
• cycle time, 91, 92, 94–99, 101, 106, 107, 110–115

D, F

• dataset analysis, 203
• delivery, 4, 9, 10, 14–16
• directed acyclic graph (DAG), 31
• FastText, 153, 156–158, 160–164
• feature selection, 55, 56, 67–70, 72, 74–76, 78, 81, 86
• feed-forward neural network, 202, 220
• fuzzy controller agent, 177, 178, 180–182, 186, 188

G

• genetic algorithm (GA), 25, 27–31, 33, 36–38, 43, 51
• Global Vectors for Word
  • Representation (GloVe), 153, 154, 156–158, 160–163
• grey wolf optimization (GWO), 66, 84, 85

H, I

• hybridization, 170, 194, 196
• hyperparameters, 219, 220
• inference mechanism, 169, 188, 196
• intelligent system, 169
• intrusion detection system (IDS)
  • deployment, 231
  • network-based, 202, 204, 228, 231

K, L

• Keras, 219, 220, 230, 231
• KNN (k-nearest neighbor), 55, 86, 87
• latency, 25, 26, 28–30, 33, 45, 48, 51
• learning mechanism, 92, 100
• loading problem, 4, 5, 7, 9, 11, 14, 15, 17, 18
• long short-term memory (LSTM), 153, 155, 156, 158, 160–164

M

• machine learning (ML), 121, 123, 125, 130, 146, 202, 213
• supervised, 202
• manufacturing systems, 93, 97
• metaheuristics, 55, 56, 58, 69, 70, 72, 75, 76, 78–81, 86–88
• MiMALBP-2, 94–98, 115

N, O

• natural language processing (NLP), 151, 152, 154
• NSL-KDD dataset, 202–204, 207, 213, 222
• optimization, 25–29, 31, 34, 35, 38, 41, 45, 51, 92, 96, 97, 172–174, 180
  • methods, 3, 18

P, R

• pickup, 4, 9, 10, 14, 15
• plan, 26, 28, 31, 34–38, 45
• precedence constraint, 29, 31, 36, 39
• ranked positional weight (RPW), 101–105, 116
• recommender systems, 121–124, 128, 134, 137–139, 144–146

S, T

• search
  • local, 92, 99–102, 106, 107, 110, 116
  • neighborhood, 92, 107, 116
• task time, 91, 95–98, 107–110
• TensorFlow, 219, 230, 231
  • Extent (TFX), 230
• time windows (TW), 4, 9, 14, 15

V

• vehicle routing problem (VRP), 3–5, 7, 11, 12
• virtual machines, 27–29, 31, 33, 39