@inproceedings{28e942b19b3a459785a6fa90f23ffc2d,
title = "Benchmarking CMA-ES with Basic Integer Handling on a Mixed-Integer Test Problem Suite",
abstract = "We compare the performances of one implementation of CMA-ES (pycma version 3.3.0) for optimizing functions with both continuous and integer variables. The implementation incorporates a lower bound on the variance along the integer coordinates to keep the optimization from stalling. This benchmark will serve as a baseline for further works on pycma. Results show substantial improvement since the last benchmarked version of pycma. Also this implementation is competitive with other mixed integer algorithms.",
keywords = "Benchmarking, Black-box optimization, Mixed-integer optimization",
author = "Tristan Marty and Yann Semet and Anne Auger and S{\'e}bastien H{\'e}ron and Nikolaus Hansen",
note = "Publisher Copyright: {\textcopyright} 2023 Copyright held by the owner/author(s).; 2023 Genetic and Evolutionary Computation Conference Companion, GECCO 2023 Companion ; Conference date: 15-07-2023 Through 19-07-2023",
year = "2023",
month = jul,
day = "15",
doi = "10.1145/3583133.3596411",
language = "English",
series = "GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion",
publisher = "Association for Computing Machinery, Inc",
pages = "1628--1635",
booktitle = "GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion",
}