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dc.contributor.authorWang, Yongen
dc.contributor.authorXu, Biaoen
dc.contributor.authorSun, Guangrongen
dc.contributor.authorYang, Shengxiangen
dc.date.accessioned2017-03-07T15:51:57Z
dc.date.available2017-03-07T15:51:57Z
dc.date.issued2017-02-17
dc.identifier.citationY. Wang, B. Xu, G. Sun, and S. Yang. A two-phase differential evolution for uniform designs in constrained experimental domains. IEEE Transactions on Evolutionary Computation, 21 (5), pp. 665-680en
dc.identifier.urihttp://hdl.handle.net/2086/13453
dc.descriptionopen access article
dc.description.abstractIn many real-world engineering applications, a uniform design needs to be conducted in a constrained experimental domain that includes linear/nonlinear and inequality/equality constraints. In general, these constraints make the constrained experimental domain small and irregular in the decision space. Therefore, it is difficult for current methods to produce a predefined number of samples and make the samples distribute uniformly in the constrained experimental domain. This paper presents a two-phase differential evolution for uniform designs in constrained experimental domains. In the first phase, considering the constraint violation as the fitness function, a clustering differential evolution is proposed to guide the population toward the constrained experimental domain from different directions promptly. As a result, a predefined number of samples can be obtained in the constrained experimental domain. In the second phase, maximizing the minimum Euclidean distance among samples is treated as another fitness function. By optimizing this fitness function, the samples produced in the first phase can be scattered uniformly in the constrained experimental domain. The performance of the proposed method has been tested and compared with another state-of-the-art method. Experimental results suggest that our method is significantly better than the compared method in the uniform designs of a new type of automotive crash box and five benchmark test problems. Moreover, the proposed method could be considered as a general and promising framework for other uniform designs in constrained experimental domains.en
dc.language.isoen_USen
dc.publisherIEEE Pressen
dc.subjectUniform designen
dc.subjectA new type of automotive crash boxen
dc.subjectConstrained experimental domainen
dc.subjectDifferential evolutionen
dc.titleA two-phase differential evolution for uniform designs in constrained experimental domainsen
dc.typeArticleen
dc.identifier.doihttps://dx.doi.org/10.1109/TEVC.2017.2669098
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderEPSRC (Engineering and Physical Sciences Research Council)en
dc.funderEU Horizon 2020 Marie Sklodowska-Curie Individual Fellowshipsen
dc.projectidEP/K001310/1en
dc.projectid661327en
dc.cclicenceCC-BY-NCen
dc.date.acceptance2017-02-03en
dc.exception.reasonopen access articleen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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