کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
167159 1423403 2015 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel interactive preferential evolutionary method for controller tuning in chemical processes
ترجمه فارسی عنوان
یک روش تکاملی جدید ترجیحی تعاملی برای تنظیم کننده کنترل در فرآیندهای شیمیایی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی

In response to many multi-attribute decision-making (MADM) problems involved in chemical processes such as controller tuning, which suffer human's subjective preferential nature in human–computer interactions, a novel affective computing and preferential evolutionary solution is proposed to adapt human–computer interaction mechanism. Based on the stimulating response mechanism, an improved affective computing model is introduced to quantify decision maker's preference in selections of interactive evolutionary computing. In addition, the mathematical relationship between affective space and decision maker's preferences is constructed. Subsequently, a human–computer interactive preferential evolutionary algorithm for MADM problems is proposed, which deals with attribute weights and optimal solutions based on preferential evolution metrics. To exemplify applications of the proposed methods, some test functions and, emphatically, controller tuning issues associated with a chemical process are investigated, giving satisfactory results.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chinese Journal of Chemical Engineering - Volume 23, Issue 2, February 2015, Pages 398–411
نویسندگان
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