کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
496455 862860 2007 23 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development of a soft computing-based framework for engineering design optimisation with quantitative and qualitative search spaces
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Development of a soft computing-based framework for engineering design optimisation with quantitative and qualitative search spaces
چکیده انگلیسی

Most real world engineering design optimisation approaches reported in the literature aim to find the best set of solutions using computationally expensive quantitative (QT) models without considering the related qualitative (QL) effect of the design problem simultaneously. Although, the QT models provide various detailed information about the design problem, unfortunately, these approaches can result in unrealistic design solutions. This paper presents a soft computing-based integrated design optimisation framework of QT and QL search spaces using meta-models (design of experiment, DoE). The proposed approach is applied to multi-objective rod rolling problem with promising results. The paper concludes with a detailed discussion on the relevant issues of integrated QT and QL design strategy for design optimisation problems outlining its strengths and challenges.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 7, Issue 1, January 2007, Pages 166–188
نویسندگان
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