کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
476291 | 699437 | 2007 | 24 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A niched genetic algorithm to solve a pollutant emission reduction problem in the manufacturing industry: A case study
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A niched genetic algorithm to solve a pollutant emission reduction problem in the manufacturing industry: A case study A niched genetic algorithm to solve a pollutant emission reduction problem in the manufacturing industry: A case study](/preview/png/476291.png)
چکیده انگلیسی
A multiobjective optimization approach to deal with a pollutant emission reduction problem in the manufacturing industry, through implementation of the best available technical options, is presented in this paper. More specifically, attention is focused on the industrial painting of wood and the problem under investigation is formulated as a bicriteria combinatorial optimization problem. A niched Pareto genetic algorithm based approach is used to determine sets of methods, tools and technologies, applicable both in the design and in the production phase, allowing to simultaneously minimize the total cost and maximize the total pollutant emission reduction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Operations Research - Volume 34, Issue 7, July 2007, Pages 2191–2214
Journal: Computers & Operations Research - Volume 34, Issue 7, July 2007, Pages 2191–2214
نویسندگان
L. Grandinetti, F. Guerriero, G. Lepera, M. Mancini,