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.
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Table of Contents
1. Complexity in Real-Life Transportation Problems
Part 1: Rich Vehicle Routing Problems: Challenges and Algorithms 2. Economic and Environmental Impacts 3. Serial and Parallel Algorithms 4. Metaheuristic Algorithms 5. Bio-Inspired Algorithms 6. Hybrid Algorithms 7. Heuristic Algorithms 8. Benchmarks
Part 2: Smart Delivery Systems: Challenges, Algorithms, and Applications 9. Machine Learning 10. Advanced Data Analysis 11. Parallelizing 12. Smart Delivery Systems Practical Applications
