Please use this identifier to cite or link to this item: https://doi.org/10.1109/CEC.2007.4424521
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dc.titleNoise-induced features in robust multi-objective optimization problems
dc.contributor.authorGoh, C.K.
dc.contributor.authorTan, K.C.
dc.contributor.authorCheong, C.Y.
dc.contributor.authorOng, Y.S.
dc.date.accessioned2014-06-19T03:20:18Z
dc.date.available2014-06-19T03:20:18Z
dc.date.issued2007
dc.identifier.citationGoh, C.K., Tan, K.C., Cheong, C.Y., Ong, Y.S. (2007). Noise-induced features in robust multi-objective optimization problems. 2007 IEEE Congress on Evolutionary Computation, CEC 2007 : 568-575. ScholarBank@NUS Repository. https://doi.org/10.1109/CEC.2007.4424521
dc.identifier.isbn1424413400
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71141
dc.description.abstractApart from the need to satisfy several competing objectives, many real-world applications are also sensitive to decision or environmental parameter variation which results in large or unacceptable performance variation. While evolutionary optimization techniques have several advantages over operational research methods for robust optimization, it is rarely studied by the evolutionary multi-objective (MO) optimization community. This paper addresses the issue of robust MO optimization by presenting a robust continuous MO test suite with features of noise-induced solution space, fitness landscape and decision space variation. The work presented in this paper should encourage further studies and the development of more effective algorithms for robust MO optimization. © 2007 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CEC.2007.4424521
dc.sourceScopus
dc.subjectEvolutionary algorithms
dc.subjectMulti-objective optimization
dc.subjectRobust solutions
dc.subjectRobust test functions
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/CEC.2007.4424521
dc.description.sourcetitle2007 IEEE Congress on Evolutionary Computation, CEC 2007
dc.description.page568-575
dc.identifier.isiut000256053700075
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