An analysis of constructive crossover and selection pressure in genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{1277297,
  author =       "Huayang Xie and Mengjie Zhang and Peter Andreae",
  title =        "An analysis of constructive crossover and selection
                 pressure in genetic programming",
  booktitle =    "GECCO '07: Proceedings of the 9th annual conference on
                 Genetic and evolutionary computation",
  year =         "2007",
  editor =       "Dirk Thierens and Hans-Georg Beyer and 
                 Josh Bongard and Jurgen Branke and John Andrew Clark and 
                 Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and 
                 Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and 
                 Julian F. Miller and Jason Moore and Frank Neumann and 
                 Martin Pelikan and Riccardo Poli and Kumara Sastry and 
                 Kenneth Owen Stanley and Thomas Stutzle and 
                 Richard A Watson and Ingo Wegener",
  volume =       "2",
  isbn13 =       "978-1-59593-697-4",
  pages =        "1739--1748",
  address =      "London",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p1739.pdf",
  DOI =          "doi:10.1145/1276958.1277297",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, USA",
  month =        "7-11 " # jul,
  organisation = "ACM SIGEVO (formerly ISGEC)",
  keywords =     "genetic algorithms, genetic programming, crossover,
                 selection pressure, stochastic elements",
  abstract =     "A common problem in genetic programming search
                 algorithms is destructive crossover in which the
                 offspring of good parents generally has worse
                 performance than the parents. Designing constructive
                 crossover operators and integrating some local search
                 techniques into the breeding process have been
                 suggested as solutions. This paper reports on
                 experiments demonstrating that premature convergence
                 may happen more often when using these techniques in
                 combination with standard parent selection. It shows
                 that modifying the selection pressure in the parent
                 selection process is necessary to obtain a significant
                 performance improvement.",
  notes =        "GECCO-2007 A joint meeting of the sixteenth
                 international conference on genetic algorithms
                 (ICGA-2007) and the twelfth annual genetic programming
                 conference (GP-2007).

                 ACM Order Number 910071",
}

Genetic Programming entries for Huayang Jason Xie Mengjie Zhang Peter Andreae

Citations