مشخصات پژوهش

عنوان	OPTIMIZATION OF HEAT EXCHANGER NETWORKS USING AN EVOLUTIONARY METHOD
نوع پژوهش	مقاله چاپ‌شده
کلیدواژه‌ها	Optimization, heat exchanger networks (HEN) optimization, CSO (Cat Swarm Optimization), evolutionary algorithms
چکیده	In this communication, optimization of heat exchanger networks is studied using a new approach based on evolutionary algorithms. Heat exchanger networks with known structures are optimized using a new algorithm of swarm intelligence, namely, Cat Swarm Optimization (CSO). CSO is simulated by observing the behaviors of cats. Some cases from the literature have been solved with the proposed method, and results yield heat exchanger networks with lower costs than those ones presented in the literature for the studied cases. It is expected that the present study provides better understanding of design and optimization of the heat exchanger networks.
پژوهشگران	امیر محمدی (نفر سوم)، علیرضا فضلعلی (نفر دوم)، ابوالفضل غیاثوند (نفر اول)