@inproceedings{1dc179ab97334e108269f7f3573f83ca,
title = "Evolutionary computation: An investigation of parameter space",
abstract = "Through an extensive series of experiments over multiple evolutionary algorithm implementations and 25 problems we showed that parameter space tends to be rife with viable parameters, somewhat in contrast with common lore [6].",
keywords = "Evolutionary algorithms, Genetic programming, Hyper-parameter, Meta-genetic algorithm, Parameter tuning",
author = "Moshe Sipper and Karuna Ahuja and Weixuan Fu and Moore, \{Jason H.\}",
note = "Publisher Copyright: {\textcopyright} 2018 Copyright held by the owner/author(s).; 2018 Genetic and Evolutionary Computation Conference, GECCO 2018 ; Conference date: 15-07-2018 Through 19-07-2018",
year = "2018",
month = jul,
day = "6",
doi = "10.1145/3205651.3208207",
language = "English",
series = "GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion",
publisher = "Association for Computing Machinery, Inc",
pages = "29--30",
booktitle = "GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion",
}