Smart Delivery Systems: Solving Complex Vehicle Routing Problems examines both exact and approximate methods for delivering optimal solutions to rich vehicle routing problems, showing both the advantages and disadvantages of each approach. It shows how to apply machine learning and advanced data analysis techniques to improve routing systems, familiarizing readers with the concepts and technologies used in successfully implemented delivery systems. The book explains both the latest theoretical and practical advances in intelligent delivery and scheduling systems and presents practical applications for designing new algorithms for real-life scenarios.
1. Chapter 2: On a road to optimal fleet routing algorithms: a gentle introduction to the state-of-the-art - p. 35 2. Chapter 3: Exact algorithms for solving rich vehicle routing problems - p. 92 3. Chapter 4: Heuristics, metaheuristics, and hyperheuristics for rich vehicle routing problems - p. 99 4. Chapter 5: Hybrid algorithms for rich vehicle routing problems: a survey - p. 156 5. Chapter 6: Parallel algorithms for solving rich vehicle routing problems - p. 184 6. Chapter 7: Where machine learning meets smart delivery systems - p. 201 7. Chapter 8: How to assess your Smart Delivery System? - p. 226 8. Chapter 9: Practical applications of smart delivery systems - p. 247 9. Index - p. 269
Smart Delivery Systems: Solving Complex Vehicle Routing Problems examines both exact and approximate methods for delivering optimal solutions to rich vehicle routing problems, showing both the advantages and disadvantages of each approach. It shows how to apply machine learning and advanced data analysis techniques to improve routing systems, familiarizing readers with the concepts and technologies used in successfully implemented delivery systems. The book explains both the latest theoretical and practical advances in intelligent delivery and scheduling systems and presents practical applications for designing new algorithms for real-life scenarios.
1. Chapter 2: On a road to optimal fleet routing algorithms: a gentle introduction to the state-of-the-art - p. 35 2. Chapter 3: Exact algorithms for solving rich vehicle routing problems - p. 92 3. Chapter 4: Heuristics, metaheuristics, and hyperheuristics for rich vehicle routing problems - p. 99 4. Chapter 5: Hybrid algorithms for rich vehicle routing problems: a survey - p. 156 5. Chapter 6: Parallel algorithms for solving rich vehicle routing problems - p. 184 6. Chapter 7: Where machine learning meets smart delivery systems - p. 201 7. Chapter 8: How to assess your Smart Delivery System? - p. 226 8. Chapter 9: Practical applications of smart delivery systems - p. 247 9. Index - p. 269
