Baseline Genetic Programming: Symbolic Regression on Benchmarks for Sensory Evaluation Modeling

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

@InCollection{Noel:2011:GPTP,

• author = "Pierre-Luc Noel and Kalyan Veeramachaneni and Una-May O'Reilly",
• title = "Baseline Genetic Programming: Symbolic Regression on Benchmarks for Sensory Evaluation Modeling",
• booktitle = "Genetic Programming Theory and Practice IX",
• year = "2011",
• editor = "Rick Riolo and Ekaterina Vladislavleva and Jason H. Moore",
• series = "Genetic and Evolutionary Computation",
• address = "Ann Arbor, USA",
• month = "12-14 " # may,
• publisher = "Springer",
• chapter = "10",
• pages = "173--194",
• keywords = "genetic algorithms, genetic programming, symbolic regression, benchmarks, sensory evaluation, hedonic modelling",
• isbn13 = "978-1-4614-1769-9",
• DOI = "doi:10.1007/978-1-4614-1770-5_10",
• abstract = "We introduce hedonic, modelling benchmarks for the field of sensory science evaluation. Our benchmark framework provides a general means of defining a response surface which we call a 'sensory map'. A sensory map is described by a mathematical expression which rationalises domain specific knowledge of the explanatory variables and their individual or higher order contribution to hedonic, response. The benchmark framework supports the sensory map's so called ground truth to be uncontrollably distorted to mimic the human and protocol factors that obscure it. To provide a baseline for future algorithm comparison, we evaluate a public research release of genetic programming symbolic regression algorithm on a sampling of the framework's benchmarks.",
• notes = "part of \cite{Riolo:2011:GPTP}",
• affiliation = "Swiss Federal Institute of Technology, Zurich, Switzerland",

}

Genetic Programming entries for Pierre-Luc Noel Kalyan Veeramachaneni Una-May O'Reilly

Citations