Parsing and translation of expressions by genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{1068291,
  author =       "David Jackson",
  title =        "Parsing and translation of expressions by genetic
                 programming",
  booktitle =    "{GECCO 2005}: Proceedings of the 2005 conference on
                 Genetic and evolutionary computation",
  year =         "2005",
  editor =       "Hans-Georg Beyer and Una-May O'Reilly and 
                 Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and 
                 Eric W. Bonabeau and Erick Cantu-Paz and 
                 Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and 
                 Edwin D. {de Jong} and Hod Lipson and Xavier Llora and 
                 Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and 
                 Terence Soule and Andy M. Tyrrell and 
                 Jean-Paul Watson and Eckart Zitzler",
  volume =       "2",
  ISBN =         "1-59593-010-8",
  pages =        "1681--1688",
  address =      "Washington DC, USA",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1681.pdf",
  DOI =          "doi:10.1145/1068009.1068291",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, 10286-1405, USA",
  month =        "25-29 " # jun,
  organisation = "ACM SIGEVO (formerly ISGEC)",
  keywords =     "genetic algorithms, genetic programming, application,
                 experimentation, software tools",
  abstract =     "We have investigated the potential for using genetic
                 programming to evolve compiler parsing and translation
                 routines for processing arithmetic and logical
                 expressions as they are used in a typical programming
                 language. Parsing and translation are important and
                 complex real-world problems for which evolved solutions
                 must make use of a range of programming constructs. The
                 exercise also tests the ability of genetic programming
                 to evolve extensive and appropriate use of abstract
                 data types namely, stacks. Experimentation suggests
                 that the evolution of such code is achievable, provided
                 that program function and terminal sets are judiciously
                 chosen.",
  notes =        "GECCO-2005 A joint meeting of the fourteenth
                 international conference on genetic algorithms
                 (ICGA-2005) and the tenth annual genetic programming
                 conference (GP-2005).

                 ACM Order Number 910052",
}

Genetic Programming entries for David Jackson

Citations