Jakub Nalepa – författare

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.

Emphasizes both sequential and parallel algorithms Uniquely combines methods and algorithms, real-life applications, and parallel computing Includes recommendations on how to choose between different methods for solving applications Provides learning aids, end of chapter references, bibliography, worked examples and exercises

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.- Emphasizes both sequential and parallel algorithms- Uniquely combines methods and algorithms, real-life applications, and parallel computing- Includes recommendations on how to choose between different methods for solving applications- Provides learning aids, end of chapter references, bibliography, worked examples and exercises

This book constitutes the refereed proceedings of the First International Workshop on Explainable AI in Space, EASi 2025, in Bologna, Italy, during October 2025.The 8 full papers presented were carefully reviewed and selected from 10 submissions.  The Explainable AI in Space (EASi) workshop addressed a critical intersection between explainable AI (XAI) and space applications, offering broad relevance to multiple research and industrial communities beyond traditional AI approaches.

This book constitutes the refereed proceedings of the Second International Workshop on Explainable AI in Space, EASi 2026, in Bremen, Germany, during August  15 -21 2026.The 7 full papers and 1 Extended Abstract presented were carefully reviewed and selected from 13 submissions. The second edition ofthe Explainable AI in Space (EASi 2026) workshop explored the intersection of explainable AI (XAI) and space applications, bringing together researchers and practitioners from both academia and industry.