Towards Self-Learning Model-Based Evolutionary Algorithms

Model-based evolutionary algorithms (MBEAs) are praised for their broad applicability to black-box optimization problems. In practical applications however, they are mostly used to repeatedly optimize different instances of a single problem class, a setting in which specialized algorithms generally perform better. In this paper, we introduce the...

Synchronization of Wireless Sensor Networks

Wireless sensor networks of the type discussed in this MSc project play a crucial role in many envisionings of the Internet of Things, a trend that is thought to play a major role in the technological innovations of the near future. These wireless, ad-hoc, scalable mesh networks provide the infrastructure for numerous sensing and control...

A Genetic Approach to Programming Large-Scale Systems

In recent years, there is an increasing interest in the scientific community for development of algorithms targeting large-scale networks. In addition to their sheer size, these networks also exhibit various topology dynamics -- nodes join and exit at high rates (churn), are mobile and are not always reliable. Such extreme properties make...

Automatic Discovery of Distributed Algorithms for Large-Scale Systems

In recent years, large-scale systems have become mainstream at a very high pace. Typical examples of large-scale systems are MANETs, Wireless Sensor Networks, Pervasive Computing, Swarm Robotics, etc. These systems distinguish them- selves by the large number of devices they embody, and emergent behaviors they exhibit: Behavior that is globally...

Dynamic improvement of robustness of power transmission grids in decentralized and distributed environments

Power transmission networks are large scale complex distributed and networked systems, situated in dynamic environments. Managing such systems is essentially decentralized and distributed. The main function of power transmission grids is to assure the security and reliability of the network and to avoid blackouts. Key elements that can determine...

GDE: A Distributed Gradient-Based Algorithm for Distance Estimation in Large-Scale Networks

Today, wireless networks are connecting more and more devices around us. The scale of these systems demands for novel techniques to maintain availability for various services such as routing, localization, context detection, etc. Distance estimation is one of their most important building blocks. The majority of current algorithms presume...