کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
174006 458623 2007 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Pinch multi-agent genetic algorithm for optimizing water-using networks
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
Pinch multi-agent genetic algorithm for optimizing water-using networks
چکیده انگلیسی

A new genetic algorithm, pinch multi-agent genetic algorithm (PMAGA), is developed for optimizing water-using networks. All agents are fixed on a lattice, and they will compete or cooperate to increase their energy. On the other hand, agents can also increase their energy with knowledge. For single contaminant water-using systems, PMAGA and other algorithms as well as Lingo can find the same minimum freshwater consumption. For multiple contaminants systems, it can find the same or better results in case studies. Moreover, PMAGA is more efficient for much shorter computational time compared with other algorithms, and furthermore, it can yield many water-using networks consuming the same minimum freshwater but with different configurations, whereas Lingo yields only one network. These alternative configurations give more options for industries.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Chemical Engineering - Volume 31, Issue 12, December 2007, Pages 1565–1575
نویسندگان
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