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dc.contributor.authorCheng, Ranen
dc.contributor.authorLi, Miqingen
dc.contributor.authorTian, Yeen
dc.contributor.authorZhang, Xingyien
dc.contributor.authorYang, Shengxiangen
dc.contributor.authorJin, Yaochuen
dc.contributor.authorYao, Xinen
dc.date.accessioned2017-03-24T13:53:51Z
dc.date.available2017-03-24T13:53:51Z
dc.date.issued2017-02-28
dc.identifier.citationCheng, R. et al. (2017) A benchmark test suite for evolutionary many-objective optimization. Complex and Intelligent Systems, 3 (1), pp. 67-81en
dc.identifier.urihttp://hdl.handle.net/2086/13841
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. Open Access journalen
dc.description.abstractIn the real world, it is not uncommon to face an optimization problem with more than three objectives. Such problems, called many-objective optimization problems (MaOPs), pose great challenges to the area of evolutionary computation. The failure of conventional Pareto-based multi-objective evolutionary algorithms in dealing with MaOPs motivates various new approaches. However, in contrast to the rapid development of algorithm design, performance investigation and comparison of algorithms have received little attention. Several test problem suites which were designed for multi-objective optimization have still been dominantly used in many-objective optimization. In this paper, we carefully select (or modify) 15 test problems with diverse properties to construct a benchmark test suite, aiming to promote the research of evolutionary many-objective optimization (EMaO) via suggesting a set of test problems with a good representation of various real-world scenarios. Also, an open-source software platform with a user-friendly GUI is provided to facilitate the experimental execution and data observation.en
dc.language.isoen_USen
dc.publisherSpringeren
dc.subjectMany-objective optimization problemsen
dc.subjectTest problemsen
dc.subjectEvolutionary many-objective optimizationen
dc.titleA benchmark test suite for evolutionary many-objective optimizationen
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1007/s40747-017-0039-7
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderEPSRC (Engineering and Physical Sciences Research Council)en
dc.projectidEP/K001310/1en
dc.projectidEP/K001523/1en
dc.cclicenceCC BYen
dc.date.acceptance2017-02-28en
dc.exception.reasonopen access journalen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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