@inproceedings{849b1a8791254a8c87df753feb76bfd6,
title = "Reference set metrics for multi-objective algorithms",
abstract = "Several metrics and indicators have been suggested in the past to evaluate multi-objective evolutionary and non-evolutionary algorithms. However, these metrics are known to have many problems that make their application sometimes unsound, and sometimes infeasible. This paper proposes a new approach, in which metrics are parameterized with respect to a reference set, on which depend the properties of any metric.",
keywords = "Metrics, Multi-objective Algorithms, Reference Set",
author = "Mohan, {Chilukuri K.} and Mehrotra, {Kishan G.}",
year = "2011",
doi = "10.1007/978-3-642-27172-4_85",
language = "English (US)",
isbn = "9783642271717",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "723--730",
booktitle = "Swarm, Evolutionary, and Memetic Computing - Second International Conference, SEMCCO 2011, Proceedings",
edition = "PART 1",
note = "2nd International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011 ; Conference date: 19-12-2011 Through 21-12-2011",
}