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IMC
ZIH
TU Dresden
Dept. for Innovative
Methods of Computing
 

Former Projects

BioLogistics

Bio-Inspired SOlutions for complex communication Networks

BioLogistics

biologistics Logistics, in the sense of organization, coordination and optimization of various material flows, is not restricted to economical systems. It also happens to be an important ingredient of biological systems. Logistic processes in biological systems are usually highly stable with respect to moderate changes in the boundary conditions, but at the same time extremely adaptable to large fluctuations of input variables. The insights recently gained in systems biology make it now possible to use the optimization potentials of bio-inspired methods in logistics. Biological examples allow one to derive new and more robust methods to efficiently design extremely complex transport and regulation processes. The collaborative research project pursues the vision of a concept, which allows one to develop and structure technical transport systems according to the same principles that govern natural transport systems. As a result, a completely new approach to the design of transport systems shall be established: A planner should no longer develop the final layout of a transport system him/herself. One should rather formulate technical and spatial restrictions, within which an optimal solution of the transport problem "grows" according to natural principles. The BioLogistics project - a cooperation of TU Dresden, Max Planck Institute of Molecular Cell biology and Genetics, Dresden, and ETH Z├╝rich - is supported by the Daimler Benz Foundation (Ladenburg).

Bio-Inspired SOlutions for complex communication Networks

bison In this project we exploit biological ideas and techniques from the theory of complex systems for constructing robust, self-organizing and self-repairing information systems in highly dynamic networks (e.g. peer-to-peer). An important model class are cellular automata. The focus is on complex problems in networks as GNUTELLA or internet. The project is interdisciplinary with partners from computer science, mathematics, physics and biology. So far, we have concentrated on search and load balancing algorithms which are motivated from ideas taken from the immune system and biological development.

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