Route scheduling is a critical component in transportation and supply chain management. The consequences of improperly designed and implemented algorithms can result in efficiency & economic loss, consumer dissatisfaction, environmental pollution, and traffic congestion. Smart Delivery Systems helps address this issue and plays an increasingly pivotal role in transit planning and package delivery as they help solve complex, discrete, and very constrained optimization problems. Gathering together in one place various experts and approaches into one reference, Smart Delivery Systems: Optimizing 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, using practical applications for designing new algorithms to real-life scenarios. Emphasizes both sequential and parallel algorithmsUniquely combines methods and algorithms, real-life applications, and parallel computingRecommendations on how to choose between different methods for solving applicationsLearning aids include end of chapter references, bibliography, worked examples, and exercises INDICE: 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
- ISBN: 978-0-12-815715-2
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 272
- Fecha Publicación: 01/11/2019
- Nº Volúmenes: 1
- Idioma: Inglés