A Tool for Parallel System Configuration and Program Mapping based on Genetic Algorithms
Fabrizio Baiardi, D. Ciuffolini, A. M. Lomartire, D. Montanari, Gianfranco Pesce · Birkhäuser Basel eBooks · 1994
A programming tool based on genetic algorithms aimed at the solution of the mapping problem is discussed. The tool is driven by two genetic algorithms, one of them being involved in the fitness evaluation of the other. Due to the large computational cost of this strategy, a parallel implementation has been devised. A first set of results is presented. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.