@inproceedings {pub2779,
	title = {Adaptive system design by a simultaneous evolution of morphology and information processing},
	author = {Olga Smalikho AND Markus Olhofer},
	year = {2014},
	month = {December},
	abstract = {The continuous need to increase the efficiency of technical systems requires the utilization of complex adaptive systems 
which operate in environments which are not completely predictable. Reasons include the often random nature of the environment 
and the fact that not all phenomena can be explained in full detail. As a consequence the developer often gets 
confronted with the task to design an adaptive system with only little prior knowledge about the problem at hand. 
The design of adaptive systems, which react autonomously to changes in their environment, require the coordinated 
generation of sensors, providing information about the environment, actuators which change the current state of the system 
and signal processing structures thereby generating suitable reactions to changed conditions. In this work we demonstrate the 
applicability of a concurrent evolutionary design of the optimal morphological configuration, presented as sensory and 
actuation systems, and the corresponding optimal controller part of a system. We apply the process to the example 
of an adaptive wing design. Prior experiments for the optimization of the systems, having fixed number of sensor and 
actuator elements demonstrate the existence of an optimal dimensionality of the systems morphology. We show that the 
presented growth method is able to detect this morphological configuration and concurrently find the optimal 
corresponding controller autonomously during a single combined evolutionary process.},
	publisher = {Springer},
	booktitle = {The 10th International Conference on Simulated Evolution and Learning},
	city = {Dunedin, New Zealand}
}