List of Articles optimal operation

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  1 - Performance evaluation of differential evolution algorithm in optimum operating of Eleviyan single-reservoir dam system
  Reza Dashti Mohammad Taghi Sattari Vahid Nourani
  Optimum operating of reservoir dams is one of the most important challenges in the water resources management. In fact, integrated water resource management is necessary for an optimum and efficient operating of these resources. In this research the performance of diffe More

  Optimum operating of reservoir dams is one of the most important challenges in the water resources management. In fact, integrated water resource management is necessary for an optimum and efficient operating of these resources. In this research the performance of differential evolution algorithm is compared with the improved harmony search algorithm and nonlinear programming method in optimized operating of the Eleviyan single reservoir dam on Soofi-chay River which is one of the most important dams in the Urmia lake basin. Considering the vital importance of the ecological flow to prevent the death of Urmia Lake, an optimization model is developed to determine the minimum required ecological flow of the Soofi-chay River, besides to the water flow needs such as the municipal, industrial demands, and also minimizing the water shortage for agricultural targets. The reservoir parameters including reliability, vulnerability and sustainability indicators are used to evaluate the performance of the studied algorithms in an optimal utilization of the reservoir. The results showed that using the differential evolution algorithm gives a higher-performance compared to the other methods employed in this study in efficient operation of the Eleviyan dam system. Manuscript profile
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  2 - Optimizing operation of reservoir for agricultural water supply using firefly algorithm
  Seyed Mohammad Hosseini-Moghari Mohammad Ebrahim Banihabib
  The largest amount of water in Iran is used in agricultural sector. Thus, efficient use of water in this sector will be significantly effective in maintaining water resources and optimum use of available water. In many regions, surface reservoirs are responsible for pro More

  The largest amount of water in Iran is used in agricultural sector. Thus, efficient use of water in this sector will be significantly effective in maintaining water resources and optimum use of available water. In many regions, surface reservoirs are responsible for providing water to downstream agriculture. Optimal operation of reservoir is one of the major parts of surface water resource optimization. So far, several optimization approaches have been used, among them, the most popular methods are Evolutionary Algorithms. In this study, Firefly Algorithm (FA), as a new method, was proposed for optimal operating of Bazoft reservoir. The operation modeling was carried out for a period of 120 months related to 1986 to 1995 years. The considered objective function was defined as minimizing the sum of squared differences between the demands and the release from the reservoir divided by maximum demand during operation. The model performance was examined compared to Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). These two mentioned algorithms are known as common and standard methods.The results indicated that firefly algorithm can better perform than other methods. The mean value of the objective function of this method was 0.408, and the mean of the objective function for the GA and PSO were 0.618 and 0.913, respectively. In addition, FA has created less deficiency values and milder deficiency compares to GA and PSO. Manuscript profile
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  3 - Multi-objective planning in order to manage the quantitative and qualitative effects of optimal utilization of groundwater resources in Shahriar plain
  Nima Salehi shafa Hossein Babazadeh Fayaz Aghayari Ali Saremi
  10.30495/jest.2022.63568.5523
  Background and Objective: Development of agriculture, industry and population growth, the exploitation of groundwater resources has increased and has affected its quality. In order to prevent the occurrence of quantitative and qualitative problems of aquifers, managemen More

  Background and Objective: Development of agriculture, industry and population growth, the exploitation of groundwater resources has increased and has affected its quality. In order to prevent the occurrence of quantitative and qualitative problems of aquifers, management of optimal operation of groundwater resources is essential. Therefore, the purpose of this study is the optimal utilization of groundwater resources and to investigate its quantitative and qualitative effects on the Shahriar plain aquifer. Material and Methodology: Groundwater level changes and its quality from the perspective of index (TDS) in Shahriar plain aquifer have been simulated by ANN. Then (TDS) of groundwater has estimated by regression. Finally, the multi-objective genetic algorithm (NSGA-II) was used for optimal utilization of groundwater resources and with the aim of minimizing groundwater level changes and total dissolved solids of groundwater. Findings: According to the results of the study, the evaluation criteria (RMSE) in three modes of training, testing and validation for groundwater level changes are equal to 1.27e-06, 0.0025 and 0.003, respectively, and for total dissolved solids of groundwater was calculated to be 0.24, 27.64 and 14.608 and the correlation coefficient (R) at the level (0.05) in three situations was significant for both variables. Also, during the study period, the volume of optimal withdrawal from the aquifer has decreased by 29.12 percent and the optimal amount (TDS) of groundwater on average, 120.87 Mg./l, has been calculated less than the estimate of artificial neural network. And Groundwater level has also increased by an average of 9.27 meters per year. Discussion and Conclusion: The results confirm that the proposed simulation-optimization method as an application tool with good performance, low cost and desirable speed can support several effective factors simultaneous with optimal operation policy. It also reduces the quantitative and qualitative problems of the aquifer and cause increases the stability of the groundwater system.   Manuscript profile
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  4 - الگوریتم رقابت استعماری (ICA) مبتنی بر روش بهینه‌سازی مخزن در سد کهیر
  علی سردار شهرکی سمیه امای
  کمبود آب، به ویژه در ایران و در دوره خشکسالی­های اخیر، بر اهمیت دستیابی به یک سیاست عملیاتی بهینه برای مخازن بزرگ اهمیت پیدا کرده است. در دو دهه گذشته، بهینه­سازی سالانه مخازن در شرایط کنترل شده و همچنین شرایط آب و هوایی توجه بسیاری از محققان و کارشناسان را به خ More

  کمبود آب، به ویژه در ایران و در دوره خشکسالی­های اخیر، بر اهمیت دستیابی به یک سیاست عملیاتی بهینه برای مخازن بزرگ اهمیت پیدا کرده است. در دو دهه گذشته، بهینه­سازی سالانه مخازن در شرایط کنترل شده و همچنین شرایط آب و هوایی توجه بسیاری از محققان و کارشناسان را به خود جلب کرده است. در این مطالعه، رویکرد جدیدی برای پیش­بینی ذخیره مخزن ارائه شده است. الگوریتم رقابت استعماری (ICA) یک رویکرد جدید در زمینه محاسبات تکاملی است که راه حل بهینه را در مشکلات مختلف بهینه­سازی محاسبه می­کند. این الگوریتم با مدل­سازی ریاضی فرآیند تکامل اجتماعی روانشناختی، رویکرد جدیدی را برای حل مشکلات بهینه­سازی ریاضی ارائه می­دهد و در مقایسه با سایر الگوریتم­ها، سرعت مناسب و سرعت همگرایی بالایی را در یافتن پاسخ بهینه دارد. در این تحقیق از الگوریتم رقابتی امپریالیست برای بهینه­سازی سالانه مخزن کهیر برای به دست آوردن سیاست­های بهینه استفاده شده است. عملکرد هدف از جهت دستیابی به آب در پایین دست نیاز به ایجاد روابط براساس استمرار وجود دارد. عملکرد هدف از جهت دستیابی به آب در پایین دست نیاز به ایجاد روابط براساس استمرار دارد. مقایسه مدل ICA در جمع 100 نشان داد که الگوریتم ICA با میانگین بهترین ارزش تابع هدف 125، 6/114 و 60/85 با تعدادی از ارزیابی­های بیشتر تابع هدف برای دستیابی به ظرفیت بالاتر، پاسخ بهینه است. نتایج حاکی از خطای 1/6 درصدی در اجرای الگوریتم ICA بین انبارهای مشاهده شده و پیش بینی شده است. نتایج استفاده از الگوریتم رقابتی امپریالیست برای مسئله بهینه­سازی سالانه بیانگر توانایی روش پیشنهادی است. Manuscript profile