Genetic programming: a tutorial introduction

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{OReilly:2014:GECCOcomp,

• author = "Una-May O'Reilly",
• title = "Genetic programming: a tutorial introduction",
• booktitle = "GECCO 2014 Introductory tutorials",
• year = "2014",
• editor = "Mengjie Zhang",
• isbn13 = "978-1-4503-2881-4",
• keywords = "genetic algorithms, genetic programming",
• pages = "227--250",
• month = "12-16 " # jul,
• organisation = "SIGEVO",
• address = "Vancouver, BC, Canada",
• URL = "http://doi.acm.org/10.1145/2598394.2605336",
• DOI = "doi:10.1145/2598394.2605336",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• abstract = "Genetic programming emerged in the early 1990's as one of the most exciting new evolutionary algorithm paradigms. It has rapidly grown into a thriving area of research and application. While sharing the evolutionary inspired algorithm principles of a genetic algorithm, it differs by exploiting an executable genome. Genetic programming evolves a 'program' to solve a problem rather than a single solution. This tutorial introduces the basic genetic programming framework. It explains how the powerful capability of genetic programming is derived from modular algorithmic components: executable representations such as an abstract syntax tree, variation operators that preserve syntax and explore a variable length, hierarchical solution space, appropriately chosen programming functions and fitness function specification.",
• notes = "Also known as \cite{2605336} Distributed at GECCO-2014.",

}

Genetic Programming entries for Una-May O'Reilly

Citations