High-dimensional objective optimizer: An evolutionary algorithm and its nonlinear analysis

Huang, Jun; Huang, Xiaotao; Ma, Yan; Liu, Yanbing

doi:10.1016/j.eswa.2011.01.108

Cited by 1 publication

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References 13 publications

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“…Additionally, there are some limitations on the adopted theory of evolutionary algorithm and fuzzy theory. The further study should consider to involve the method of multi-objective optimization algorithm and hypercube optimization algorithm, so as to improve the quality of experiences [32], [33], [34].…”

Section: Virtual Experience Mapmentioning

confidence: 99%

E-customized Product: User-centered Co-design Experiences

2020

KSII TIIS

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The purpose of this study is to orient users' touchpoints in co-design experience, to identify their need via visualized experience map, to recommend valid design information in online e-customization services. A user-centered co-design experience map (UCEM) is adopted to analyze the relation between users' desire and time spent, so as to evaluate the online co-design experiences. Based on evolutionary algorithm and fuzzy theory, data of this study is collected from 30 participants. The data was analyzed by descriptive analysis in SPSS, and frequency query and word cloud in NVivo. Employing design category and evaluating users' time spent, the findings are that (a) vamp color matching is consistent with interview data; (b) supported by qualitative feedback, the virtual experience map played an important role in the co-design process and the visualized interaction process; and (c) participants prefer to get more information and professional help on color matching and exterior design. Based on the findings in design category, future work should be focused on developing a better understanding of design resource recommendations and multi-stakeholder communication.

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Section: Virtual Experience Mapmentioning

confidence: 99%

E-customized Product: User-centered Co-design Experiences

2020

KSII TIIS

View full text Add to dashboard Cite

show abstract

High-dimensional objective optimizer: An evolutionary algorithm and its nonlinear analysis

Cited by 1 publication

References 13 publications

E-customized Product: User-centered Co-design Experiences

E-customized Product: User-centered Co-design Experiences

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