Encoding Multiple Solutions in a Linear Genetic Programming Chromosome

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{oltean:2004:ICCS2,

• 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

Citations