@inproceedings{007d99b93a55480ba1694f4d43a17f93,
title = "Towards multi-objective mixed integer evolution strategies",
abstract = "Many problems are of a mixed integer nature, rather than being restricted to a single variable type. Although mixed integer algorithms exist for the single-objective case, work on the multi-objective case remains limited. Evolution strategies are stochastic optimisation algorithms that feature step size adaptation mechanisms and are typically used in continuous domains. More recently they were generalised to mixed integer problems. In this work, first steps are taken towards extending the single-objective mixed integer evolution strategy for the multi-objective case. First results are promising, but step size adaptation for the multi-objective case can likely be improved.",
author = "\{Van Der Blom\}, Koen and Kaifeng Yang and Thomas B{\"a}ck and Michael Emmerich",
note = "Publisher Copyright: {\textcopyright} 2019 Author(s).; 14th International Global Optimization Workshop, LeGO 2018 ; Conference date: 18-09-2018 Through 21-09-2018",
year = "2019",
month = feb,
day = "12",
doi = "10.1063/1.5090013",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Deutz, \{Andre H.\} and Hille, \{Sander C.\} and Sergeyev, \{Yaroslav D.\} and Emmerich, \{Michael T. M.\}",
booktitle = "Proceedings LeGO 2018 � 14th International Global Optimization Workshop",
}