@inproceedings{c6d0c65926c14b8bbe31b94cea3862d1,
title = "Benchmarking CMAES-APOP on the BBOB noiseless testbed",
abstract = "In this paper, we investigate a new approach for adapting population size in the CMA-ES. .is method is based on tracking the information in each slot of S successive iterations to decide whether we should increase or decrease or keep the population size in the next slot of S iterations. .e information which we collect is the non-decrease of the median of the objective function values. We will show the efficiency of our approach on some multi-modal functions with adequate global structure.",
keywords = "Benchmarking, Black-box optimization, CMA-ES, Evolutionary computation, Popsize Adaptation",
author = "Nguyen, \{Duc Manh\} and Nikolaus Hansen",
note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 2017 Genetic and Evolutionary Computation Conference Companion, GECCO 2017 ; Conference date: 15-07-2017 Through 19-07-2017",
year = "2017",
month = jul,
day = "15",
doi = "10.1145/3067695.3084207",
language = "English",
series = "GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion",
publisher = "Association for Computing Machinery, Inc",
pages = "1756--1763",
booktitle = "GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion",
}