Genetic algorithms are best suited for optimization problems involving large search spaces. The problem space encountered when optimizing the transmission parameters of an agile or...
Timothy R. Newman, Rakesh Rajbanshi, Alexander M. ...
The state-independent (SI) and state-dependent (SD) path restoration schemes for self-healing networks are studied in this paper. The integer programming (IP) formulations for the...
We present a compiler optimization approach that uses the simulated evolution (SE) paradigm to enhance the finish time of heuristically scheduled computations with communication t...
This paper presents a highly efficient processor design methodology based on the LISA 2.0 language. Typically the architecture design phase is dominated by an iterative processor ...
Andreas Hoffmann, Frank Fiedler, Achim Nohl, Suren...
Abstract—Scalable reliable multicast protocols have been a focus of recent research, tackling the problem of efficient reliable data delivery to an arbitrarily large number of r...