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