@inproceedings{f3d47d0902a745d6bd75cf60d43e7330,
title = "Benchmarking the pure random search on the bi-objective BBOB-2016 testbed",
abstract = "The Comparing Continuous Optimizers platform COCO has become a standard for benchmarking numerical (single-ob- jective) optimization algorithms effortlessly. In 2016, COCO has been extended towards multi-objective optimization by providing a first bi-objective test suite. To provide a base- line, we benchmark a pure random search on this bi-objective bbob-biobj test suite of the COCO platform. For each combination of function, dimension n, and instance of the test suite, 106 . n candidate solutions are sampled uniformly within the sampling box [..5; 5]n.",
keywords = "Benchmarking, Bi-objective optimization, Black-box optimization",
author = "Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Dejan Tu{\v s}ar and Tea Tuar and Tobias Wagner",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 2016 Genetic and Evolutionary Computation Conference, GECCO 2016 Companion ; Conference date: 20-07-2016 Through 24-07-2016",
year = "2016",
month = jul,
day = "20",
doi = "10.1145/2908961.2931704",
language = "English",
series = "GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference",
publisher = "Association for Computing Machinery, Inc",
pages = "1217--1223",
editor = "Tobias Friedrich",
booktitle = "GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference",
}