Ergonomic Chair Design by Fusing Qualitative and Quantitative Criteria using Interactive Genetic Algorithms

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dc.contributor.authorBrintrup, Alexandra Melike-
dc.contributor.authorRamsden, Jeremy J.-
dc.contributor.authorTakagi, Hideyuki-
dc.date.accessioned2011-06-14T23:20:57Z
dc.date.available2011-06-14T23:20:57Z
dc.date.issued2008-06-01T00:00:00Z-
dc.description.abstractThis paper emphasizes the necessity of formally bringing qualitative and quantitative criteria of ergonomic design together, and provides a novel complementary design framework with this aim. Within this framework, different design criteria are viewed as optimization objectives; and design solutions are iteratively improved through the cooperative efforts of computer and user. The framework is rooted in multi-objective optimization, genetic algorithms and interactive user evaluation. Three different algorithms based on the framework are developed, and tested with an ergonomic chair design problem. The parallel and multi-objective approaches show promising results in fitness convergence, design diversity and user satisfaction metrics.en_UK
dc.identifier.citationBrintrup, A.M., Ramsden, J., Takagi, H. and Tiwari, A.; 2008, Ergonomic Chair Design by Fusing Qualitative and Quantitative Criteria using Interactive Genetic Algorithms. IEEE Transactions on Evolutionary Computation, vol. 12, no. 3, 343-354.en_UK
dc.identifier.issn1089-778X-
dc.identifier.urihttp://dx.doi.org/10.1109/TEVC.2007.904343-
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/2677
dc.language.isoen_UKen_UK
dc.publisherIEEEen_UK
dc.subjectinteractive evolutionary computationen_UK
dc.subjectmulti-objective optimizationen_UK
dc.subjectdesign optimization, ergonomicsen_UK
dc.titleErgonomic Chair Design by Fusing Qualitative and Quantitative Criteria using Interactive Genetic Algorithmsen_UK
dc.typeArticleen_UK

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