Parallel programming paradigm: Application to evolutionary computations

The GAMMA parallel programming model is based on the multiset datastructure; here a succession of chemical reactions consume the elements of the multiset and produce new elements according to specific rules. The extension of GAMMA model to its probabilistic version-P-GAMMA model can realise probabilistic, classifier, bucket-brigade, and genetic algorithms, and it can be supported using transaction processing facilities. The P-GAMMA model would provide a new programming environment and new tools based on a parallel architecture for probabilistic, classifier, bucket-brigade, genetic, learning and random competition algorithms