Parallel Implementation of a Genetic-programming Based Tool for Symbolic Regression
Salhi, A., Glaser, H. and Roure, D. De (1998) Parallel Implementation of a Genetic-programming Based Tool for Symbolic Regression. Information Processing Letters, 66, 299-307.
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We report on a parallel implementation of a tool for symbolic regression, the algorithmic mechanism of which is based on genetic programming, and communication is handled using MPI. The implementation relies on a random islands model, (RIM), which combines both the conventional islands model where migration of individuals between islands occurs periodically and niching where no migration takes place. The system was designed so that the algorithm is synergistic with parallel/distributed architectures, and works to make use of processor time and minimum use of network bandwidth without complicating the sequential algorithm significantly. Results on an IBM SP2 are included.
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Web & Internet Science
|Date Deposited:||10 Aug 1999|
|Last Modified:||26 Apr 2013 01:40|
|Contributors:||Salhi, A. (Author)
Glaser, H. (Author)
Roure, D. De (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||5|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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