Many-Objective Centralized Adaptation Planning: Towards Hybrid Self-Adaptive and Self-Organizing Systems

Driving semi-automated vehicles at close distances, called platooning, emerges as a promising strategy to address conflicts associated with the ever-increasing traffic volumes on German highways by optimizing fuel consumption and road utilization. Mapping the architecture of a self-adaptive system to platooning, a fully central coordination of vehicles would introduce a potential bottleneck, while fully decentralized decision-making might lead to conflicting adaptations. Therefore, this project aims to establish a hybrid self-adaptive and self-organizing system that is robust with micro-level autonomic adaptation decisions while centrally optimizing the decision-making.