Investigating Problem Hardness of Real Life Applications

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

@InCollection{Vanneschi:2007:GPTP,

• author = "Leonardo Vanneschi",
• title = "Investigating Problem Hardness of Real Life Applications",
• booktitle = "Genetic Programming Theory and Practice {V}",
• year = "2007",
• editor = "Rick L. Riolo and Terence Soule and Bill Worzel",
• series = "Genetic and Evolutionary Computation",
• chapter = "7",
• pages = "107--125",
• address = "Ann Arbor",
• month = "17-19" # may,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-0-387-76308-8",
• DOI = "doi:10.1007/978-0-387-76308-8_7",
• size = "18 pages",
• abstract = "This chapter represents a first attempt to characterise the fitness landscapes of real-life Genetic Programming applications by means of a predictive algebraic difficulty indicator. The indicator used is the Negative Slope Coefficient, whose efficacy has been recently empirically demonstrated on a large set of hand-tailored theoretical test functions and well known GP benchmarks. The real-life problems studied belong to the field of Biomedical applications and consist of automatically assessing a mathematical relationship between a set of molecular descriptors from a given dataset of drugs and some important pharmacokinetic parameters. The parameters considered here are Human Oral Bioavailability, Median Oral Lethal Dose, and Plasma Protein Binding levels. The availability of good prediction tools for pharmacokinetics parameters like these is critical for optimising the efficiency of therapies, maximising medical success rate and minimizing toxic effects. The experimental results presented in this chapter show that the Negative Slope Coefficient seems to be a reasonable tool to characterise the difficulty of these problems, and can be used to choose the most effective Genetic Programming configuration (fitness function, representation, parameters' values) from a set of given ones.",
• notes = "part of \cite{Riolo:2007:GPTP} published 2008",
• affiliation = "Dipartimento di Informatica, Sistemistica e Comunicazione (D.I.S.Co.), University of Milano, Bicocca Milan, Italy",

}

Genetic Programming entries for Leonardo Vanneschi

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