@inproceedings{3625715d9a7f4377b46fab6534cc0b9a,
title = "Generating data for testing Pareto sorting algorithms",
abstract = "Evolutionary algorithm and multi-dimensional visualization applications both have a need for algorithms that identify the Pareto frontier, and to Pareto sort the data into levels of dominance. To properly develop these Pareto algorithms one needs test data of varying dimension, total numbers of points, number of points that are nondominated, and number of points that are on each level. This paper presents three related approaches to generating the test data, and discusses some insights into the nature of multi-dimensional Pareto frontiers given by studying the problem.",
author = "Yukish, {Michael A.}",
year = "2006",
month = jan,
day = "1",
doi = "10.2514/6.2006-6981",
language = "English (US)",
isbn = "1563478234",
series = "Collection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference",
publisher = "American Institute of Aeronautics and Astronautics Inc.",
pages = "890--898",
booktitle = "Collection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference",
note = "11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference ; Conference date: 06-09-2006 Through 08-09-2006",
}