Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification

Alan P. Reynolds, Jo L. Dicks, Ian N. Roberts, Jan-Jap Wesselink, Beatriz de la Iglesia, Vincent Robert, Teun Boekhout, Victor J. Rayward-Smith

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)


Algorithms for the automated creation of low cost identification keys are described and theoretical and empirical justifications are provided. The algorithms are shown to handle differing test costs, prior probabilities for each potential diagnosis and tests that produce uncertain results. The approach is then extended to cover situations where more than one measure of cost is of importance, by allowing tests to be performed in batches. Experiments are performed on a real-world case study involving the identification of yeasts.
Original languageEnglish
Title of host publicationApplications of Evolutionary Computing
EditorsStefano Cagnoni, Colin G. Johnson, Juan Cardalda, Elena Marchiori, David Corne, Jean-Arcady Meyer, Jens Gottlieb, Martin Middendorf, Agnès Guillot, Günther Raidl, Emma Hart
Number of pages10
ISBN (Print)978-3-540-00976-4
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science

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