Fitness Clouds and Problem Hardness in Genetic Programming

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

@InProceedings{vanneschi:fca:gecco2004,

• author = "Leonardo Vanneschi and Manuel Clergue and Philippe Collard and Marco Tomassini and S\'ebastien V\'erel",
• title = "Fitness Clouds and Problem Hardness in Genetic Programming",
• booktitle = "Genetic and Evolutionary Computation -- GECCO-2004, Part II",
• year = "2004",
• editor = "Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell",
• series = "Lecture Notes in Computer Science",
• pages = "690--701",
• address = "Seattle, WA, USA",
• publisher_address = "Heidelberg",
• month = "26-30 " # jun,
• organisation = "ISGEC",
• publisher = "Springer-Verlag",
• volume = "3103",
• ISBN = "3-540-22343-6",
• ISSN = "0302-9743",
• URL = "http://www.i3s.unice.fr/~verel/publi/gecco04-FCandPbHardnessGP.pdf",
• URL = "https://rdcu.be/dnXdl",
• DOI = "doi:10.1007/978-3-540-24855-2_76",
• DOI = "doi:10.1007/b98645",
• size = "12 pages",
• keywords = "genetic algorithms, genetic programming",
• abstract = "Abstract. This paper presents an investigation of genetic programming fitness landscapes. We propose a new indicator of problem hardness for tree-based genetic programming, called negative slope coefficient, based on the concept of fitness cloud. The negative slope coefficient is a predictive measure, i.e. it can be calculated without prior knowledge of the global optima.The fitness cloud is generated via a sampling of individuals obtained with the Metropolis-Hastings method. The reliability of the negative slope coefficient is tested on a set of well known and representative genetic programming benchmarks, comprising the binomial-3 problem, the even parity problem and the artificial ant on the Santa Fe trail.",
• notes = "GECCO-2004 A joint meeting of the thirteenth international conference on genetic algorithms (ICGA-2004) and the ninth annual genetic programming conference (GP-2004)",

}

Genetic Programming entries for Leonardo Vanneschi Manuel Clergue Philippe Collard Marco Tomassini Sebastien Verel

Citations