Parallel Genetic Programming: Component Object-based Distributed Collaborative Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Ivan Tanev and Takashi Uozumi and Koichi Ono",
  title =        "Parallel Genetic Programming: Component Object-based
                 Distributed Collaborative Approach",
  booktitle =    "Proceedings of the 15th International Conference on
                 Information Networking (ICOIN-15)",
  year =         "2001",
  pages =        "129--136",
  keywords =     "genetic algorithms, genetic programming, DCOM, DCPGP,
                 Internet, autonomous subpopulations, centralized
                 manager, coarse grained inherent parallelism,
                 communicating entities, communication network,
                 communication paradigm, component object based
                 distributed collaborative approach, computational
                 performance, cost-efficient clusters, distributed
                 collaborative approach, distributed collaborative
                 parallel GP, distributed component object model,
                 dynamic scaling-up features, generic support, global
                 migration broker, globally fittest individuals, linear
                 speedup characteristics, parallel genetic programming,
                 performance demands, semi-isolated subpopulations, true
                 system model, Internet, distributed object management,
                 groupware, parallel programming, workstation clusters",
  DOI =          "doi:10.1109/ICOIN.2001.905345",
  size =         "8 pages",
  abstract =     "We discuss the feasibility of applying the distributed
                 collaborative approach for improving the computational
                 performance of genetic programming (GP), implemented on
                 cost-efficient clusters or the Internet. Proposed
                 approach exploits the coarse grained inherent
                 parallelism in GP among relatively autonomous
                 subpopulations. Developed architecture of distributed
                 collaborative parallel GP (DCPGP) features single,
                 global migration broker and centralised manager of the
                 semi-isolated subpopulations, which contribute to quick
                 propagation of the globally fittest individuals among
                 the subpopulations, reducing the performance demands to
                 the underlying communication network, and achieving
                 dynamic scaling-up features. DCPGP exploits the
                 distributed component object model (DCOM) as a
                 communication paradigm, which as a true system model
                 offers generic support for the issues of naming,
                 locating and security of communicating entities of
                 developed architecture. Experimentally obtained speedup
                 results show that close to linear speedup
                 characteristics of the prototype of DCPGP are achieved
                 on network of 8 workstations.",

Genetic Programming entries for Ivan T Tanev Takashi Uozumi Koichi Ono