A Genetic Programming Approach to Geometrical Digital Content Modeling in Web Oriented Applications

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@Article{Palaghita:2011:IE,

• title = "A Genetic Programming Approach to Geometrical Digital Content Modeling in Web Oriented Applications",
• author = "Dragos Palaghita",
• journal = "Informatica Economica",
• publisher = "Inforec Association",
• year = "2011",
• volume = "15",
• issue = "1",
• pages = "31--47",
• keywords = "genetic algorithms, genetic programming, fitness, geometrical structured entities, analysis",
• ISSN = "14531305",
• bibsource = "OAI-PMH server at www.doaj.org",
• language = "eng",
• oai = "oai:doaj-articles:4b677e38eb2209cd781614826b99a749",
• source = "Informatica Economica Journal",
• URL = "http://revistaie.ase.ro/content/57/03%20-%20Palaghita.pdf",
• URL = "http://revistaie.ase.ro/57.html",
• broken = "http://www.doaj.org/doaj?func=openurl&genre=article&issn=14531305&date=2011&volume=15&issue=1&spage=31",
• size = "17 pages",
• abstract = "The paper presents the advantages of using genetic techniques in web oriented problems. The specific area of genetic programming applications that paper approaches is content modeling. The analysed digital content is formed through the accumulation of targeted geometrical structured entities that have specific characteristics and behaviour. The accumulated digital content is analysed and specific features are extracted in order to develop an analysis system through the use of genetic programming. An experiment is presented which evolves a model based on specific features of each geometrical structured entity in the digital content base. The results show promising expectations with a low error rate which provides fair approximations related to analyzed geometrical structured entities.",

}

Genetic Programming entries for Dragos Palaghita

Citations