Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022

Author(s):: Ye, F.; Doerr, C.; Wang, H. (0000-0002-4933-5181); Bäck, T.H.W. (0000-0001-6768-1478)

Editor(s):: Fieldsend, J.E.

Published: 2022
Publication type: Article in monograph or in proceedings

Date issued: 2022
Language: English
Publisher: New York, NY, United States: Association for Computing Machinery
Is part of: GECCO '22: proceedings of the genetic and evolutionary computation conference companion (2022), p. 51-52
ISBN source: 9781450392372
hdl: 1887/3503894
doi: 10.1145/3520304.3534075

Conference

Meeting name: GECCO '22: Genetic and Evolutionary Computation Conference
Meeting location: Boston Massachusetts, United States of America
Meeting date: 2022-07-09 - 2022-07-13