This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best...
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
Abstract. We present algorithms for sorting and routing on two-dimensional mesh-connected parallel architectures that are optimal on average. If one processor has many packets then...
Manfred Kunde, Rolf Niedermeier, Klaus Reinhardt, ...
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...