Self-Aware Optimization of Adaptation Planning Strategies

Self-Aware Traffic Route Planning

One of the most ubiquitous AI applications is vehicle route planning. While state-of-the-art systems take into account current traffic conditions or historic traffic data, current planning approaches ignore the impact of their own plans on the future traffic conditions. We present a novel algorithm for self-aware route planning that uses the routes it plans for current vehicle traffic to more a...

Hybrid Planning For Self-Adaptation

Self-adaptive software systems make decisions at run time that seek to change their behavior in response to faults, changing environments and attacks. Therefore, having an appropriate decision making approach to find an adaptation strategy is critical to successful self-adaptation. Ideally, when an adaptation is triggered, one would like to have a decision making approach that is both quick and...

Landmark-Aware Strategies for Hierarchical Planning

In hierarchical planning, landmarks are abstract tasks the decomposition of which are mandatory when trying to find a solution to a given problem. In this paper, we present novel domain-independent strategies that exploit landmark information to speed up the planning process. The empirical evaluation shows that the landmark-aware strategies outperform established search strategies for hierarchi...

Self-adaptation in evolution strategies

Heterogeneity-Aware Placement Strategies for Query Optimization