Abstract

Using randomness to find optimal solutions in selecting network paths. echanisms found in biological systems are in general robust and adapt well to changes in the environment. Therefore, many techniques that mimic certain behaviors found in nature have been implemented in computer science. Some of these techniques (artificial neural networks, simulated annealing, or genetic algorithms) perform well as optimization techniques for certain problem types, especially in the presence of incomplete or fuzzy input data. In order to foster research on new information technology based on biologically inspired approaches, a project entitled “New Information Technologies for Building a Networked Symbiosis Environment ” was initiated in 2002 at Osaka University in Japan. 1 Close interdisciplinary collaboration with researchers from

Citations