بهینه‌سازی طراحی جامع تصفیه‌خانه و شبکه جمع‌آوری فاضلاب خانگی با الگوریتم بهینه‌سازی جامعه مورچگان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکترا، دانشکده مهندسی عمران، دانشگاه علم و صنعت ایران، تهران

2 دانشیار، قطب علمی هیدرو انفورماتیک محیطی، دانشکده مهندسی عمران، دانشگاه علم و صنعت ایران، تهران

چکیده

در این تحقیق با به‌کارگیری الگوریتم بهینه‌سازی جامعه مورچگان, روشی ابتکاری بر مبنای قضاوت مهندسی برای حل مسئله طراحی جامع بهینه تصفیه‌خانه و شبکه جمع‌آوری فاضلاب خانگی ارائه شد. طراحی جامع بهینه شامل یافتن جانمایی بهینه تصفیه‌خانه و شبکه و ابعاد بهینه شبکه جمع‌آوری فاضلاب خانگی است. طراحی جامع تصفیه‌خانه و شبکه جمع‌آوری فاضلاب خانگی کاری پرهزینه است و بنابراین طراحی بهینه و کم هزینه آن نیازمند مدل‌سازی مسئله در قالب یک مسئله بهینه‌سازی است. مسئله طراحی جامع بهینه تصفیه‌‌خانه و شبکه جمع‌آوری فاضلاب یک مسئله پیچیده غیر خطی مختلط اعداد صحیح است که حل آن با روشهای مرسوم امکان‌پذیر نیست. در این تحقیق با استفاده از الگوریتم بهینه‌سازی جامعه مورچگان و ارائه روشی ابتکاری، مسئله نمونه‌ای حل و نتایج با نتایج حاصل از به‌کارگیری الگوریتم ژنتیک مقایسه شد. نتایج نشان‌ داد که روش پیشنهادی, روشی مناسب در حل مسئله طراحی جامع بهینه تصفیه‌خانه و شبکه جمع‌آوری فاضلاب خانگی است.

کلیدواژه‌ها


عنوان مقاله [English]

Optimization of Integrated Design of Wastewater Treatment and Sanitary Sewer Network Using Ant Colony Optimization Algorithm

نویسندگان [English]

  • Ramtin Moeini 1
  • Mohammadhadi Afshar 2
چکیده [English]

In this paper a heuristic method with ad-hoc engineering concept is proposed for design optimization of integrated wastewater treatment and sanitary sewer network using ant colony optimization algorithm. The optimal design of integrated wastewater treatment and sewer network requires that the wastewater treatment location, layout and size of sewer network are optimally determined. The problem of finding the optimal design of integrated wastewater treatment and sanitary sewer network is an expensive task that should be formulated as an optimization problem if an optimal least cost design is required. This problem is a highly constrained Mixed-Integer Nonlinear Programming (MINLP) problem presenting a challenge even to conventional methods. In this paper an efficient heuristic method with ad-hoc engineering concept using ant colony optimization algorithm is proposed and used to solve hypothetical test example and the results are presented and compared with those of obtained with using genetic algorithm.  The results indicate the effectiveness and efficiency of the proposed method to optimally solve the problem of optimal design of integrated wastewater treatment and sewer network.

کلیدواژه‌ها [English]

  • Layout
  • Sizes
  • Sanitary Sewer Network
  • Wastewater Treatment
  • Ant Colony Optimization Algorithm
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