To model the relationship between natural selection and ontogenesis, techniques from genetic algorithms and neural networks can be combined. We model this interaction as two complementary processes were the adaptation of the individual takes place to adjust to properties of the system environment interaction that cannot be predicted from the perspective of the genome. Adaptation of the individu...

Self-optimization enables technical systems to adapt their behavior to varying environmental conditions and changing system settings. Objective functions serve as evaluation criteria for the system behavior. In this paper we propose a hierarchical control approach of an objective-based Pareto controller. We separate the processes of optimization and control. First, we use multiobjective optimiz...

The conceivable development of communication and information technology opens up fascinating perspectives, which move far beyond current standards of mechatronics: mechatronic systems having inherent partial intelligence – the so-called self-optimizing systems. The design of dependable selfoptimizing systems is challenging. On the one hand, it is challenging due to complexity of such systems an...

We propose a set of benchmarks that specifically targets a major cause of performance degradation in high performance computing platforms: irregular access patterns. These benchmarks are meant to be used to asses the performance of optimizing compilers on codes with a varying degree of irregular access. The irregularity caused by the use of pointers and indirection arrays are a major challenge ...

Hybrid ac/dc microgrid clusters are key building blocks of smart grid to support sustainable and resilient urban power systems. Practically, in networked clusters, the subgrid load-priorities quality requirements for different areas vary significantly. In order realize optimal exchanges among this article proposes a decentralized self-optimizing control scheme interlinking converters (IL...

Computer science evolves ever more quickly towards autonomy: self-managing, self-configuring, or self-optimizing. This is an extreme view of automation. These features are crucial for the next generation of robots and software to help developing new tools. For these ambitious aims, there are different approaches such as datamining, expert systems, complex systems among many. Here, a multi-agent...