A benchmark generator for dynamic multi-objective optimization problems

dc.cclicenceN/Aen
dc.contributor.authorJiang, Shouyong
dc.contributor.authorYang, Shengxiang
dc.contributor.authorJiang
dc.date.acceptance2014-09
dc.date.accessioned2020-01-07T09:10:56Z
dc.date.available2020-01-07T09:10:56Z
dc.date.issued2014-10-20
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractMany real-world optimization problems appear to not only have multiple objectives that conflict each other but also change over time. They are dynamic multi-objective optimization problems (DMOPs) and the corresponding field is called dynamic multi-objective optimization (DMO), which has gained growing attention in recent years. However, one main issue in the field of DMO is that there is no standard test suite to determine whether an algorithm is capable of solving them. This paper presents a new benchmark generator for DMOPs that can generate several complicated characteristics, including mixed Pareto-optimal front (convexity-concavity), strong dependencies between variables, and a mixed type of change, which are rarely tested in the literature. Experiments are conducted to compare the performance of five state-of-the-art DMO algorithms on several typical test functions derived from the proposed generator, which gives a better understanding of the strengths and weaknesses of these tested algorithms for DMOPs.en
dc.funderEPSRC (Engineering and Physical Sciences Research Council)en
dc.identifier.citationJiang, S. and Yang, S. (2014) A benchmark generator for dynamic multi-objective optimization problems. Proceedings of the 2014 UK Workshops on Computational Intelligence (UKCI), Bradford, UK, September 2014, pp. 1-8, 2014.en
dc.identifier.doihttps://doi.org/10.1109/UKCI.2014.6930171
dc.identifier.isbn9781479955381
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/18981
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidEP/KOOI310/1en
dc.publisherIEEE Exploreen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectDynamic multi-objective optimization problemsen
dc.subjectbenchmark generatoren
dc.titleA benchmark generator for dynamic multi-objective optimization problemsen
dc.typeConferenceen

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
UKCI14.pdf
Size:
8.71 MB
Format:
Adobe Portable Document Format
Description:
Main article
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.2 KB
Format:
Item-specific license agreed upon to submission
Description: