Multi-Criterion Genetic Programming With Negative Selection for Finding Pareto Solutions

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Jerzy Marian Balicki",
  title =        "Multi-Criterion Genetic Programming With Negative
                 Selection for Finding {Pareto} Solutions",
  booktitle =    "Proceedings of the Second International Conference on
                 Software and Data Technologies, ICSOFT 2007",
  year =         "2007",
  editor =       "Joaquim Filipe and Boris Shishkov and Markus Helfert",
  pages =        "120--127",
  address =      "Barcelona, Spain",
  month =        "22-25 " # jul,
  publisher =    "INSTICC Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-989-8111-05-0",
  URL =          "",
  DOI =          "doi:10.5220/0001336201200127",
  abstract =     "Multi-criterion genetic programming (MGP) is a
                 relatively new approach for a decision making aid and
                 it can be applied to determine the Pareto solutions.
                 This purpose can be obtained by formulation of a
                 multi-criterion optimization problem that can be solved
                 by genetic programming. An improved negative selection
                 procedure to handle constraints in the MGP has been
                 proposed. In the test instance, both a workload of a
                 bottleneck computer and the cost of system are
                 minimized; in contrast, a reliability of the
                 distributed system is maximized.",
  notes =        " Distributed
                 and Parallel Systems ICSOFT 2007 was held in
                 conjunction with ENASE 2007

                 Others ?",
  bibdate =      "2009-02-24",
  bibsource =    "DBLP,

Genetic Programming entries for Jerzy Balicki