Encoding Multiple Solutions in a Linear Genetic Programming Chromosome

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Mihai Oltean and Crina Grosan and Mihaela Oltean",
  title =        "Encoding Multiple Solutions in a Linear Genetic
                 Programming Chromosome",
  booktitle =    "Computational Science - ICCS 2004: 4th International
                 Conference, Part III",
  year =         "2004",
  editor =       "Marian Bubak and Geert Dick {van Albada} and 
                 Peter M. A. Sloot and Jack Dongarra",
  volume =       "3038",
  series =       "Lecture Notes in Computer Science",
  pages =        "1281--1288",
  address =      "Krakow, Poland",
  month =        "6-9 " # jun,
  publisher =    "Springer-Verlag",
  email =        "moltean@cs.ubbcluj.ro",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-22116-6",
  URL =          "http://www.cs.ubbcluj.ro/~moltean/oltean_860.pdf",
  DOI =          "doi:10.1007/b97989",
  size =         "8 pages",
  abstract =     "Linear Genetic Programming (LGP) is a Genetic
                 Programming variant that uses linear chromosomes for
                 solution encoding. Each LGP chromosome is a sequence of
                 C language instructions. Each instruction has a
                 destination variable and several source variables. One
                 of the variables is usually chosen to provide the
                 output of the program. In this paper, we enrich the LGP
                 technique by allowing it to encode multiple solutions
                 for a problem in the same chromosome. Numerical
                 experiments show that the proposed Multi-Solution LGP
                 significantly outperforms the standard Single-Solution
                 LGP on the considered test problems.",
  notes =        "ICCS-2004",

Genetic Programming entries for Mihai Oltean Crina Grosan Mihaela Oltean