FADE

• DOI: 10.1145/3491204.3527493
• Publication Date: 2022-07-19T12:52:43Z
• Authors: Marius Hadry; Veronika Lesch; Samuel Kounev
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

In the last decades, especially intensified by pandemic situation in which many people stay at home and order goods online, need for efficient logistics systems has increased significantly. Hence, performance of optimization techniques logistic processes are becoming more important. These often require estimates about distances to customers facilities where operators have choose between exact results or short computation times. this vision paper, we propose an approach Flexible Adaptive Distance Estimation (FADE). The central idea is abstract map knowledge into a less complex graph trade off time result accuracy. We further apply concepts from self-aware computing support dynamic adaptation individual goals.