Honor all the things: A lexicase selection manifesto

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Spector:2022:GPTP,

• author = "Lee Spector",
• title = "Honor all the things: A lexicase selection manifesto",
• booktitle = "Genetic Programming Theory and Practice XIX",
• year = "2022",
• editor = "Leonardo Trujillo and Stephan M. Winkler and Sara Silva and Wolfgang Banzhaf",
• address = "Ann Arbor, USA",
• month = jun # " 2-4",
• keywords = "genetic algorithms, genetic programming",
• notes = "Does not appear in published proceedings.

  See Spector's 2022 NEO Keynote https://neo.cinvestav.mx/NEO2022/ November 8-10 10th International Workshop on Numerical and Evolutionary Optimization https://www.mdpi.com/journal/mca/special_issues/NEO22

  Usually, we care about a lot of things. That is, we have many objectives. Even when we describe a goal in terms of a single objective, that single objective is often an aggregate of many components such as measures of performance on individual tests. The wide-spread, long-standing practice for dealing with such compound objectives is to focus on aggregates, either with a single measure of overall performance or with a collection of measures, each of which aggregates sub-objectives of a specific kind. In this talk I will make the case for an alternative approach that avoids any form of aggregation of objectives or sub-objectives. The lexicase parent selection algorithm, developed for evolutionary computation, is an example of this approach.",

}

Genetic Programming entries for Lee Spector

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