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dc.contributor.authorHou, Zhangluen
dc.contributor.authorYang, Shengxiangen
dc.contributor.authorZou, Juanen
dc.contributor.authorZheng, Jinhuaen
dc.contributor.authorYu, Guoen
dc.contributor.authorRuan, Ganen
dc.date.accessioned2018-11-28T08:55:07Z
dc.date.available2018-11-28T08:55:07Z
dc.date.issued2018-11
dc.identifier.citationHou, Z., Yang, S., Zou, J., Zheng, J., Yu, G. and Ruan, G. (2018) A performance indicator for reference-point-based multiobjectiveevolutionary optimization. 2018 IEEE Symposium Series on Computational Intelligence, Bengaluru, India, November 2018.en
dc.identifier.urihttp://hdl.handle.net/2086/17296
dc.description.abstractAiming at the difficulty in evaluating preference-based evolutionary multiobjective optimization, this paper proposes a new performance indicator. The main idea is to project the preferred solutions onto a constructed hyperplane which is perpendicular to the vector from the reference (aspiration) point to the origin. And then the distance from preferred solutions to the origin and the standard deviation of distance from each mapping point to the nearest point will be calculated. The former is used to measure the convergence of the obtained solutions. The latter is utilized to assess the diversity of preferred solutions in the region of interest. The indicator is conducted to assess different algorithms on a series of benchmark problems with various features. The results show that the proposed indicator is able to properly evaluate the performance of preference-based multiobjective evolutionary algorithms.en
dc.language.isoen_USen
dc.subjectReference pointen
dc.subjectpreferenceen
dc.subjectindicatoren
dc.titleA performance indicator for reference-point-based multiobjective evolutionary optimizationen
dc.typeConferenceen
dc.identifier.doihttps://doi.org/10.1109/ssci.2018.8628834
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderNational Natural Science Foundation of Chinaen
dc.funderNational Natural Science Foundation of Chinaen
dc.projectid61502408en
dc.projectid61673331en
dc.cclicenceN/Aen
dc.date.acceptance2018-09-01en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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