- author = "Reginald L. Walker",
- title = "Parallel Clustering System Using the Methodologies of Evolutionary Computations",
- booktitle = "Proceedings of the 2001 Congress on Evolutionary Computation CEC2001",
- year = "2001",
- pages = "831--938",
- address = "COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea",
- publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
- month = "27-30 " # may,
- organisation = "IEEE Neural Network Council (NNC), Evolutionary Programming Society (EPS), Institution of Electrical Engineers (IEE)",
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, Bioinformatics Evolutionary computations, Biological modeling, Cluster analysis, Distributive/parallel computing, MPI, WWW, SUN workstations, Tocorime Apicu project, Web pages, World Wide Web, adaptive probe sets, Bioinformatics approach, evolutionary computations, fitness measures, fitness-enhancing mechanisms, message passing interface, parallel clustering system, performance, search engine, Internet, evolutionary computation, information resources, message passing",
- ISBN = "0-7803-6658-1",
-
DOI = "
doi:10.1109/CEC.2001.934276",
- abstract = "Several versions of the parallel clustering system were studied to improve performance of its initial implementation. The current versions were restricted to 1024 Web pages which, in turn, were used to create adaptive probe sets that were distributed to each indexer node. The probe sets were used to compute fitness measures associated with each indexer node used to create sub-species for the purpose of applying the new and traditional GA/GP operators. Speedup resulted from fitness-enhancing mechanisms that provided information results from previous fitness measurements of previous generations, such as the non-genetic transmission of cultural information. The clustering results are being used in the Tocorime Apicu project to develop a bioinformatic approach to the design and validation of an integrated, experimental search engine. This model provides a foundation for an evolutionary expansion of this computational model as World Wide Web (WWW) documents continue to grow. The clustering results were generated using message passing interface (MPI) on a network of SUN workstations",
-
notes = "CEC-2001 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
IEEE Catalog Number = 01TH8546C,
Library of Congress Number = .
{"}only females of equal status compete in order to ...mate{"} p831 {"}even-numbered node ID{"}. Tocorime Apicu. bloat. cf pygmies and civil servants? experimental www search engine",
