Investigating Problem Hardness of Real Life Applications
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InCollection{Vanneschi:2007:GPTP,
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author = "Leonardo Vanneschi",
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title = "Investigating Problem Hardness of Real Life
Applications",
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booktitle = "Genetic Programming Theory and Practice {V}",
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year = "2007",
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editor = "Rick L. Riolo and Terence Soule and Bill Worzel",
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series = "Genetic and Evolutionary Computation",
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chapter = "7",
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pages = "107--125",
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address = "Ann Arbor",
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month = "17-19" # may,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-0-387-76308-8",
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DOI = "doi:10.1007/978-0-387-76308-8_7",
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size = "18 pages",
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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.",
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notes = "part of \cite{Riolo:2007:GPTP} published 2008",
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affiliation = "Dipartimento di Informatica, Sistemistica e
Comunicazione (D.I.S.Co.), University of Milano,
Bicocca Milan, Italy",
- }
Genetic Programming entries for
Leonardo Vanneschi
Citations