به جمع مشترکان مگیران بپیوندید!

تنها با پرداخت 70 هزارتومان حق اشتراک سالانه به متن مقالات دسترسی داشته باشید و 100 مقاله را بدون هزینه دیگری دریافت کنید.

برای پرداخت حق اشتراک اگر عضو هستید وارد شوید در غیر این صورت حساب کاربری جدید ایجاد کنید

عضویت
جستجوی مقالات مرتبط با کلیدواژه

simulation optimization

در نشریات گروه فنی و مهندسی
  • Arash Apornak *, Seyedeh Fatemeh Golrizgashti, Reza Ghodsi

    This study presents a Distributional Robust Simulation Optimization (DRSO) framework for optimizing time-of-day toll pricing under uncertain traffic demand. Traditional pricing models often rely on deterministic assumptions, leading to suboptimal performance under real-world demand variability. To address this, our two-stage stochastic-robust approach first models demand uncertainty using data-driven stochastic processes, capturing key statistical properties of traffic fluctuations. In the second stage, we integrate Optimal Computational Budget Allocation (OCBA) to efficiently allocate computational resources, refining toll price decisions while ensuring robustness against worst-case scenarios. The proposed DRSO model is rigorously tested on both theoretical queueing systems and a real-world case study (Anaheim network), demonstrating superior performance compared to conventional stochastic and robust optimization methods. Key results show that DRSO reduces worst-case travel times by 12-18% while maintaining system efficiency under demand volatility. Additionally, our framework provides practical insights for policymakers by balancing revenue stability and congestion mitigation. These findings highlight DRSO’s potential as a scalable, data-adaptive tool for complex transportation pricing problems under uncertainty.

    Keywords: Pricing, Traffic Demand, Simulation-Optimization, Time-Dependent, Demand Uncertainty
  • MohammadReza Nazabadi, Seyed Najafi *, Ali Mohaghar, Farzad Movahedi Sobhani

    Adopting an integrated production, maintenance, and quality policy in production systems is of great importance due to their interconnected influence. Consequently, investigating these aspects in isolation may yield an infeasible solution. This paper aims to address the joint optimal policy of production, maintenance, and quality in a two-machine-single-product production system with an intermediate buffer and final product storage. The production machines have degradation levels from as-good-as-new to the breakdown state. The failures increase the production machine's degradation level, and maintenance activities change the status to the initial state. Also, the quality of the final product depends on the level of degradation of the machines and the correlation between the degradation level of the production machines and the product's quality in the case that high degradation of the previous production machines leads to a high probability to produce wastage by the following machines is considered. The production system studied in this research has been modeled using the agent-based simulation, and the Reinforcement Learning (RL) algorithm has obtained the optimal integrated policy. The goal is to find an integrated optimal policy that minimizes production costs, maintenance costs, inventory costs, lost orders, breakdown of production machines, and low-quality production. The meta-heuristic technique evaluates the joint policy obtained by the decision-maker agent. The results show that the acquired joint policy by the RL algorithm offers acceptable performance and can be applied to the autonomous real-time decision-making process in manufacturing systems.

    Keywords: Agent-based modeling, Reinforcement Learning, simulation-optimization, Production Planning, maintenance, Quality Control
  • Mojtaba Hajian Heidary *
    Increasing uncertainties in the supply chains have caused more attentions to the supply chain risk management approaches. Because of the inherent turbulences in the international transactions, these uncertainties in the global context are more important. On the other hand, due to competitive pressures, businesses has been prepared themselves to operate in a global context to take advantage of the international markets. In addition, supplier selection is a challenge for purchasing managers by having more uncertainties in supply from the foreign supplier (exchange rate risk, extended lead times, regional risks). On the other hand, lower price procurement and having more diversified suppliers are the benefits that a company could obtain from global supply chains. In this paper a scenario based supply chain model for global purchasing of substitutable products is introduced and as a solution method a simulation-optimization approach is proposed. The model is applied on the modified data adopted from a case study and sensitivity analyzes (on the risk attitude of retailers, product substitutability and exchange rate) are presented for different amounts of parameters.
    Keywords: Supply chain, risk analysis, simulation-optimization, substitutable product, global factors
  • Mojtaba Hajian Heidary *
    During the last decade, many researchers have been attracted to study the role of uncertainties in their supply chain designs. Two important uncertainties of a supply chain are demand uncertainty and supply disruption. The basic concept of the proposed model of this paper is based on the newsvendor problem. The model consists of many retailers and many suppliers as two types of autonomous agents that interact with each other considering demand and supply uncertainties. To cope with the uncertainties, retailers have three choices: a forward contract, an option contract, and purchasing from the spot market. Retailers maybe risk sensitive or risk neutral. A new simulation optimization approach is developed to find the best behavior of a risk sensitive retailer in contrast with the other risk neutral retailers during the multiple contract periods. In this model two objectives are defined to find the best behavior of the risk sensitive retailer: the maximization of the profit and the service level. In order to optimize the agent based simulation, an NSGA-II approach is used. The proposed simulation based NSGA-II is further developed in two directions: the one is different realization numbers of the uncertain parameters, and the other is preference points. Under the different preference points and different number of realizations, Pareto optimal solutions are discovered by the collaboration of the agents. Results of the numerical studies showed that adopting more risk averse policies during the contract periods will result in a larger service level and smaller profit rather than adopting more risk taking policies.
    Keywords: stochastic supply chain, Newsvendor problem, Agent Based Modeling, Simulation Optimization, NSGA-II
  • فریبرز معصومی*، سید ناصر باشی ازغدی، عباس افشار

    در این تحقیق برای نخستین بار بهینه سازی فعالیت های مدیریت پیامد در شبکه توزیع آب شهری با رویکرد کاهش زمان بهینه سازی و مبتنی بر ظرفیت آرشیو مورد توجه قرار گرفته است. در این تحقیق از روش تلفیقی شبیه سازی-بهینه سازی برای مدیریت پیامد و از مدل شبیه سازی EPANET و الگوریتم بهینه سازی NSGA-II بر مبنای آرشیو استفاده شده است. دو تابع هدف به ترتیب به منظور حداقل کردن تعداد فعالیت های واکنشی (کاهش هزینه ها) و حداقل کردن جرم آلودگی مصرف شده توسعه داده شده است. تعداد 20 شیر قطع و وصل و 31 شیر آتش نشانی به ترتیب برای ایزوله کردن شبکه و تخلیه آلودگی در نظر گرفته شده است. بدون انجام برنامه مدیریت پیامد، در صورت بروز آلودگی در شبکه مقدار کل جرم آلودگی مصرف شده 81/3 کیلوگرم خواهد بود. با استفاده از 15 فعالیت واکنشی جرم آلودگی مصرف شده به 60/6 کیلوگرم رسیده است. برای استخراج فعالیت های بهینه بین این اهداف با NSGA-II رایج و حداکثر 15 فعالیت در حدود 73 دقیقه زمان نیاز است. به منظور کاهش این زمان و فراهم آوردن امکان انجام مدیریت پیامد در زمان واقعی از الگوریتم NSGA-II بر مبنای آرشیو نیز استفاده شده است. با استفاده از ظرفیت آرشیو، امکان عدم اجرای مدل شبیه سازی برای کروموزوم های مشابه فراهم می گردد. رویکرد پیشنهادی برای ظرفیت آرشیو با تعداد صفر، 100، 200، 500، 1000، 2000، 3000، 4000 و 5000 نشان می دهد که به طور کلی با افزایش جمعیت آرشیو از صفر به 5000، زمان استخراج منحنی تعامل بین اهداف از 73 به 35 دقیقه کاهش می یابد که حاکی از کاهش بیش از 50 درصدی است. نتایج نشان می دهد که در صورت انتخاب مقدار کوچکی برای ظرفیت آرشیو، به عنوان مثال، تعداد 50 یا 100، زمان مورد نیاز برای استخراج فعالیت های بهینه اندکی نسبت به حالت مبنا افزایش می یابد. دلیل این موضوع آن است که در صورت انتخاب مقدار کوچکی برای ظرفیت آرشیو، بخشی از زمان اجرای مدل شبیه سازی- بهینه سازی صرف پیدا کردن کروموزوم های مشابه خواهد شد و با توجه به ظرفیت کم آرشیو، افزایش زمان مورد نیاز برای استخراج کروموزوم های مشابه بیشتر از تاثیر کاهش زمان استفاده از ظرفیت آرشیو است. بر این اساس، با استفاده از ظرفیت آرشیو، امکان کاهش زمان بهینه سازی و مدیریت پیامد در شبکه در زمان واقعی فراهم می گردد.

    کلید واژگان: مدیریت پیامد، شبکه آب شهری، شبیه سازی- بهینه سازی، ظرفیت آرشیو
    Fariborz Masoumi *, Seyyed Nasser Bashi Azghadi, Abbas Afshar

    In this research, for the first time, finding the optimal operation actions in WDN to decrease the optimization time is taken into consideration. Valve(s) and hydrant(s) are also employed for isolating and flushing the contamination out of the network. The proposed embedded simulation-optimization approach for consequence management in this study is compromised EPANET simulation model and archive-based non-dominated sorting genetic algorithm-II (NSGA-II). Two objective functions are considered in this paper. The first objective function, minimized numbers of field operational actions related to expenses of the optimal solutions, whereas the other one minimized “consumed contamination mass” take into account for public health and safety. 20 valves and 31 hydrants are designed to insulate the network and discharge pollution, respectively. Without a follow-up management program, the total amount of contamination consumed in the event of network contamination would be 81.3 kg. Using 15 reactive activities, the mass of contamination consumed has reached 60.6 kg. For extracting the Pareto front between these objective functions with general NSGA-II which is a constraint to a maximum of 15 operational actions, approximately 73 minutes is required. To decrease this optimization time, archive-based NSGA-II is taken into account. With an archiving concept, it is possible to not implement a simulation model for similar chromosomes. Sensitivity analysis on the archive capacity of 0, 100, 200, 500, 1,000, 2,000, 3,000, 4,000, and 5,000 chromosomes has been investigated. As an example, with an increase in archive capacity from 0 to 5000, the required time for extracting the optimal Pareto front is reduced from 73 to about 35 minutes, indicating a decrease of more than 50%. The results showed that if a small amount is selected for the archive capacity, for example, 50 or 100, the time required to extract optimal activities increases slightly relative to the base state. The reason for this is that if a small amount is selected for the archive capacity, part of the implementation time of the simulation-optimization model will be spent on finding similar chromosomes, and due to the low capacity of the archive, t is time to use the archive capacity. Using the archive, it is possible to reduce the time optimization and consequence management of the network in real-time operation.

    Keywords: Consequence Management, Water Distribution Network, Simulation-Optimization, Archive Capacity
  • Scheduling of the Shuttle Freight Train Services for Dry Ports Using Multimethod Simulation–Optimization Approach
    Mehmet Sinan Yıldırım*, Mustafa Karaşahin, Ümit Gökkuş

    This paper introduces a simulation–optimization method for addressing scheduling problems for shuttle freight trains (SFTs) in a shared railway corridor between a seaport and dry port. We use dispatching delays for scheduling the SFT trips so as to not disturb the existing scheduled regular train (SRT) paths. The method employs a multi-method microscopic simulation model and an optimization framework. A swarm-based optimization algorithm is used for finding the best dispatching delays to preserve SRT paths. The method is demonstrated for a railway corridor between the Alsancak seaport and a close-distance dry port. The railway corridor is modeled using a simulation model considering single and double railway tracks, stations, and schedules. By running the simulation–optimization, the SFT freight transport capacity and the quality of the SFT and SRT operations were compared using key performance indicators (number of completed trips and station stops, average trip delay, and average station delay) addressing the throughput and punctuality after the application of dispatching delays. The results show that, by preserving the existing SRT paths, freight transport capacity decreased by 11.1% (from 18 to 16 completed SFT trips) and 13.8% (from 36 to 31 completed SFT trips) for single and couple SFT scenarios, respectively. The methodology also decreased the average SFT station delays by 45.2% and 45.6% for the single and couple SFT scenarios comparing with the unoptimized SFT trips. However, the number of SFT station stops increased by 12.5% and 57.1% for the single and couple SFT scenarios for prioritizing the SRTs. Also after the optimization, the average SFT trip delays decreased by 30.7% and 0.58% for the single and couple SFT scenarios. This study successfully demonstrates that the proposed method can be used for scheduling the SFT trips inside a congested railway corridor and can be implemented as a capacity assessment tool for cyclic SFT service using a series of key performance indicators addressing throughput and punctuality.

    Keywords: Railway capacity, Corridor analysis, Shuttle train, Simulation optimization, Dry port
  • Mehdi Iranpoor, S. M. T. Fatemi Ghomi *

    Preventive maintenance is the essential part of many maintenance plans. From the production point of view, the flexibility of the maintenance intervals enhances the manufacturing efficiency. On the contrary, the maintenance departments tend to know the timing of the long term maintenance plans as certain as possible. In a single-machine production environment, this paper proposes a simulation–optimization approach which establishes periodic flexible maintenance plans by determining the time between the maintenance intervals and the flexibility (i.e., length) of each interval. The objective is the minimization of the estimated total costs of the corrective and preventive maintenance, the undesirability of the flexibility (i.e., uncertainty) in maintenance timing, and the tardiness and long due date costs of jobs. Two mixed continuous-discrete variations of the ant colony optimization algorithm and the particle swarm optimization algorithm are developed as the solution approaches. Numerical studies are used to compare the performance of these algorithms. Further, the average reduction of the total costs gained from the flexibility of maintenance intervals on a wide range of parameters is reported.

    Keywords: Periodic flexible maintenance planning, Random breakdown, Single-machine setting, Simulation-optimization, Mixed continuous, discrete metaheuristics
  • پریسا یوسفی پور، مطهره سعادت پور*، عباس افشار
    در اینپژوهش، بهینه‎سازی بهره برداری از مخزن در ساختار برداشت انتخابی با در نظر گرفتن جنبه های کمی و کیفی منابع آب مورد بررسی قرار گرفت. حل این مسئله بزرگ مقیاس، با استفاده از رویکرد شبیه سازی بهینه سازی مبتنی بر فرامدل با هدف ارتقاء تامین نیازهای آبی پایین دست و بهبود کیفیت جریان آب خروجی از مخزن مورد توجه این پژوهش بوده است. شبیه سازی هیدرودینامیک و کیفیت سیستم رودخانه- مخزن مورد بررسی، توسط مدل دو بعدی هیدرودینامیک و کیفیت آب CE-QUAL-W2 انجام و الگوریتم بهینه‎سازی چند هدفه هوش جمعی ذرات به عنوان ابزار بهینه‎سازی به کار گرفته شد. با توجه به لزوم فراخوانی های متعدد مدل CE-QUAL-W2 توسط الگوریتم بهینه‎سازی در رویکرد شبیه‎سازی- بهینه‎سازی و نیز حجم محاسباتی زیاد این مدل عددی در تخمین پارامترهای کیفیت آب جریان خروجی از مخزن، مدل/مدل های جایگزین تقریب غلظت پارامترهای کیفی جریان خروجی مخزن، از جمله اکسیژن محلول، نیترات، فسفات، BOD و آهندر پژوهش حاضر توسعه یافت. در ادامه ارتباط میان الگوریتم بهینه‎سازی و مدل های جایگزین تقریب کیفیت و مدل موازنه حجم آبی در مخزن دنبال شد. تابع هدف کیفی این مسئله بهینه سازی به صورت شاخص کیفیت تجمیع کننده زیرشاخص های غلظت پارامترهای متعدد کیفی تعریف شد. رویکرد پیشنهادی در این بررسی به منظور استخراج الگوی بهینه بهره برداری از مخزن در ساختار برداشت انتخابی در سیستم رودخانه- مخزن ایلام مورد آزمون قرار گرفت. نتایج بیانگر کارایی و دقت قابل توجه مدل های جایگزین توسعه داده شده در تقریب غلظت پارامترهای متعدد کیفی خروجی از مخزن در مقایسه با مدل CE-QUAL-W2 بود. خطای تقریب اکسیژن محلول، نیترات، فسفات، آهن و BOD به ترتیب 3، 1، 2، 2 و 3 درصد بود. همچنین نتایج، ارتقاء کیفیت جریان خروجی و بهبود تامین نیاز آبی پایاب مخزن ایلام را نشان داد. دلیل این رویداد، افزایش برداشت از مخزن، کاهش زمان ماند و به تبع آن کاهش فرصت ته نشینی آلاینده ها و رخداد واکنش های شیمیایی است.
    کلید واژگان: الگوریتم چند هدفه هوش تجمعی ذرات، CE-QUAL-W2، مدل ماشین بردار پشتیبان، شبیه سازی-بهینه سازی
    Parisa Yosefipoor, Motahareh Saadatpour *, Abbas Afshar
    In this research, deriving optimal reservoir operation in selective withdrawal scheme considering quality and quantity aspects has been studied. Surrogate based simulation-optimization approach (SBSOA) has been applied to improve downstream water supply and enhance reservoir outflow water quality. CE-QUAL-W2 as the hydrodynamic and water quality simulation model in the river-reservoir system and multi-objective particle swarm optimization (MOPSO) algorithm as an efficient tool have been applied in simulation-optimization (SO) approach. To overcome the computational burdens of multiple calls of CE-QUAL-W2, as a numerical high fidelity model, various surrogate models have been developed to simulate reservoir outflow water quality parameters (DO, NO3, PO4, BOD, and Fe). The developed surrogate models and mass balance model have been coupled with MOPSO algorithm in SBSOA. In this study, the water quality objective function is defined as water quality index (WQI), which integrates various water quality parameters, DO, NO3, PO4, BOD, and Fe. The proposed approach has been applied in Ilam river-reservoir system to derive optimal reservoir operating strategies in the selective withdrawal scheme. The results show suitable efficiency and accuracy of the developed surrogate models in approximation of various water quality parameters compared with CE-QUAL-W2 simulation results (the approximation error of DO, NO3, PO4, Fe, and BOD has been respectively 3%, 1%, 2%, 2%, 3%). The studies indicate enhancing reservoir outflow water quality is consistent with downstream water supply satisfaction. It means, the increasing of reservoir outflow rate leads to the reservoir detention time decreasing, pollutant settling rate reductions, and chemical/biological reaction attenuation.
    Keywords: MOPSO Algorithm, CE-QUAL-W2, LIBSVM Model, simulation-optimization
  • رضا آئین، حسین علیزاده *
    موضوع این مقاله توسعه یک مدل هیدرولوژیکی-اقتصادی مبتنی بر رویکرد شبیه سازی-بهینه سازی با هدف تعیین سیمای بهینه توسعه منابع آب حوضه آبریز رودخانه حله (شاپور-دالکی) واقع در جنوب ایران برای یک افق برنامه ریزی بلندمدت می باشد. برای بهینه سازی از الگوریتم بهینه سازی دسته ذرات (PSO) و برای شبیه سازی از ترکیب نرم افزار تخصیص آب WEAP با سه ماجول محاسباتی روندیابی نمک (شوری) منابع آب و خاک، تولید محصول و اقتصادی استفاده می شود. در نهایت از مدل توسعه یافته برای بهینه سازی اقدامات و طرحهای زیرساختی (ساخت سدها وشبکه های آبیاری و بکارگیری تکنولوژی های مدرن آبیاری) و همچنین سیاستهای بهره برداری (الگوی کشت، استراتژی آبیاری و آبشویی و قواعد بهره برداری مخازن و تخصیص آب) استفاده می شود. نتایج کاربرد مدل در خصوص حوضه آبریز حله ساخت سدهای چروم، دالکی و نرگسی، با حجم نرمال مخزن به ترتیب برابر 5/43، 5/305 و 8/76 میلیون مترمکعب را پیشنهاد می نماید که در اثر اجرای آن منافع خالص کل حوضه حاصل از کشاورزی در حدود 18% افزایش می یابد و علیرغم آن ارزش اقتصادی آب تحت شرایط گزینه بهینه توسعه نسبت به وضع موجود کاهش می یابد. همچنین استراتژی آبیاری و آبشویی بهینه بدست آمده نشان داد، مقدار کل نیاز ناخالص آب در شرایط توسعه بهینه حدود 35 درصد نسبت به شرایط وضع موجود کاهش خواهد یافت.
    کلید واژگان: مدلسازی هیدرولوژیکی-اقتصادی، شبیه سازی-بهینه سازی، WEAP، بیلان نمک، PSO
    Reza Aein, Hosein Alizadeh *
    This paper deals with developing a hydro-economic simulation-optimization model for optimal design of water resources development projects and policies of Helleh (Shapoor-Dalaki) River Basin, located at south of Iran, over a long-term planning horizon. We employ Particle Swarm Optimization (PSO) coupled with a simulation model which is a combination of WEAP water allocation software and three computational modules for soil and water salt routing at basin scale, crop yield production and economic analysis. Finally we apply the developed simulation-optimization model to optimize infrastructural projects and measures, e.g. construction of dams and irrigation districts and utilization of modern technologies, and also operation policies, e.g. irrigation and leaching strategies, reservoir rule curves, and water allocation priorities. Model application results suggest construction of Choroom, Dalaki and Nargesi dams with normal water volumes equal to 43.5, 305.5 and 76.8 million cubic meters, respectively. In spite of economic efficiency of the optimal solution achieved (18% enhancement of net benefit), the associated economic value of water is reduced with respect to business-as-usual condition. Also optimal irrigation and leaching strategies lead to 35% reduction in total gross irrigation requirement under development condition.
    Keywords: Hydro-economic modelling, simulation-optimization, WEAP, salt balance, PSO
  • Amir Parnianifard *, Siti Azfanizam Ahmad, Mohd Khairol Anuar Ariffin, Mohd Idris Shah Ismail
    Computational complexity and time-consuming iteration of simulation for tuning of Proportional-Integral-Derivative (PID) controller is a common drawback in many types of existing methods. This paper aims to propose a new method for achieving an optimal design for PID gains parameters with the least number of simulation runs. To achieve this purpose, we combine polynomial regression and Latin Hypercube Sampling (LHS) in order to Design and Analyze of Computer Experiments (DACE). In this method, the LHS is performed three times to design the associated sample points for different usage that includes training sample points to fit polynomial regression as a common surrogate model; validating sample points to scale standardized residuals; grid search sample points for investigating optimal point over whole design space. To show the flexibility and applicability of the proposed method, we serve a numerical case in the tuning of PID controller for linear speed control of Direct Current (DC) motor. Four different polynomial regression fit input/output (I/O) data over separately four model’s performances that includes Integral-Square-Error (ISE), Integral-Absolute-error (IAE), Integral-Time-Square-Error (ITSE), and Integral-Time-Absolute-Error (ITAE). Comparison of the result with two existing approaches such as traditional Zeigler-Nichols method and Taguchi-Gray Relational Analysis (Taguchi-GRA) confirms the reliability and superiority of the proposed method.
    Keywords: Polynomial Regression, PID Controller, DC Motor, Simulation Optimization, Computer experiments, Latin Hypercube Sampling
  • داود محمودزاده، حامد کتابچی*
    در دهه های اخیر تقاضا برای آب بویژه در مناطق خشک و نیمه خشک افزایش یافته است و باعث افزایش بهره برداری از این منابع شده است. منابع آب زیرزمینی از منابع مهم تامین آب برای مصارف در بخشهای مختلف از جمله شرب، صنعت و کشاورزی است. امروزه استفاده بیش از حد از منابع آب زیرزمینی، فشارهای وارده بر این منابع را افزایش داده و پیامدهای محیطزیستی جبران ناپذیری را سبب شده است. در این مطالعه از یک مدل نظریه بازی همکارانه جهت بررسی نحوه همکاری میان بهره برداران از منابع آب زیرزمینی با هدف مطالعه خسارت محیط زیستی و سود ذینفعان استفاده شده است. مدل استفاده شده در این مطالعه برای بررسی یک مسئله کنترل بهینه شامل مباحث اقتصادی، محیط زیستی، کشاورزی و متغیرهای هیدرولوژیکی توسعه داده شده است. جهت تعریف و حل مسئله شبیه سازی - بهینه سازی بصورت منعطف تر در این مطالعه، از روش بهینه سازی جامعه مورچه ها استفاده شده که امکان تمرکز بر گستره متنوع تری از اهداف و قیود را فراهم می نماید. نتایج نشان می دهد که چگونه برداشت های بی رویه و کنترل نشده در هر آبخوان بر روی سایر ذ ینفعان از منابع آب زیرزمینی که در مجاورت آن آبخوان قرار گرفته اند، تاثیر می گذارد. همچنین، اثرگذاری بر روی اکوسسیتم های آبی نیز مورد بررسی قرار گرفته و نتایج آن به صورت خسارت محیط زیستی ارائه شده است. نتایج مطالعه نشان می دهد که در حالت تشکیل ائتلاف و همکاری موثر میان ذینفعان در نواحی مختلف و در نظر گیری پیامدهای محیط زیستی، خسارات محیط زیستی نسبت به شرایط وضع موجود کاهش می یابد.
    کلید واژگان: مدیریت منابع آب زیرزمینی، رویکرد همکارانه، شبیه سازی، بهینه سازی، پیامدهای محیط زیستی، نظریه بازی
    Davood Mahmoodzadeh, Hamed Ketabchi *
    In the recent decades, water demand has been increased specially in arid and semi-arid areas, led to the over-exploitation of water resources. Groundwater resources are important sources of water supply for domestic, industrial and agricultural consumption. Nowadays, over-exploitation from groundwater resources has increased the pressure on these sources which causes the major environmental damages. In this study, a cooperative game theory model is used to investigate how the cooperation of groundwater resources consumers influences the environmental damage and the benefit of stakeholders. The used model in the present study is developed for investigation of an optimal control problem including the variables of economic, environmental, agronomic, and hydrologic issues. Ant colony optimization method is used to flexible define and solve the simulation-optimization problem of this study which provides an ability to consider an extensive range of objectives and constraints. The results show that how uncontrolled pumping and over-exploitation in each aquifer affect on the stakeholders of the adjacent aquifers. Furthermore, the impacts on aquatic ecosystems are analyzed and presented as environmental damages. The obtained results demonstrate that in different areas, environmental damages are reduced under the coalition and effective cooperation condition among stakeholders and considering the environmental externalities in comparison with status quo.
    In the recent decades, water demand has been increased specially in arid and semi-arid areas, led to the over-exploitation of water resources. Groundwater resources are important sources of water supply for domestic, industrial and agricultural consumption. Nowadays, over-exploitation from groundwater resources has increased the pressure on these sources which causes the major environmental damages. In this study, a cooperative game theory model is used to investigate how the cooperation of groundwater resources consumers influences the environmental damage and the benefit of stakeholders. The used model in the present study is developed for investigation of an optimal control problem including the variables of economic, environmental, agronomic, and hydrologic issues. Ant colony optimization method is used to flexible define and solve the simulation-optimization problem of this study which provides an ability to consider an extensive range of objectives and constraints. The results show that how uncontrolled pumping and over-exploitation in each aquifer affect on the stakeholders of the adjacent aquifers. Furthermore, the impacts on aquatic ecosystems are analyzed and presented as environmental damages. The obtained results demonstrate that in different areas, environmental damages are reduced under the coalition and effective cooperation condition among stakeholders and considering the environmental externalities in comparison with status quo.
    In the recent decades, water demand has been increased specially in arid and semi-arid areas, led to the over-exploitation of water resources. Groundwater resources are important sources of water supply for domestic, industrial and agricultural consumption. Nowadays, over-exploitation from groundwater resources has increased the pressure on these sources which causes the major environmental damages. In this study, a cooperative game theory model is used to investigate how the cooperation of groundwater resources consumers influences the environmental damage and the benefit of stakeholders. The used model in the present study is developed for investigation of an optimal control problem including the variables of economic, environmental, agronomic, and hydrologic issues. Ant colony optimization method is used to flexible define and solve the simulation-optimization problem of this study which provides an ability to consider an extensive range of objectives and constraints. The results show that how uncontrolled pumping and over-exploitation in each aquifer affect on the stakeholders of the adjacent aquifers. Furthermore, the impacts on aquatic ecosystems are analyzed and presented as environmental damages. The obtained results demonstrate that in different areas, environmental damages are reduced under the coalition and effective cooperation condition among stakeholders and considering the environmental externalities in comparison with status quo.
    Keywords: Groundwater resources management, cooperative approach, simulation-optimization, Environmental externalities, game theory
  • مجتبی شوریان*، سید محمد جواد داودی
    بالا بودن سطح آب زیرزمینی در مناطق شهری باعث بروز مشکلات متعددی در سازه های موجود و پروژه های عمرانی می شود. در روش مرسوم زهکشی با حفر تعدادی چاه و پمپاژ آب از آبخوان، سطح ایستابی تا مقدار مطلوب پایین آورده می شود. علی رغم کارایی قابل قبول این روش، هزینه اجرایی آن غالبا زیاد است. بنابراین بهینه سازی طراحی سیستم پمپاژ آب زیرزمینی در این گونه پروژه ها حائز اهمیت بوده و می تواند باعث صرفه جویی چشمگیر در هزینه های نهایی شود. در این پژوهش، حل مسئله جانمایی و ظرفیت بهینه چاه های پمپاژ با حداقل هزینه زهکشی و به منظور افت سطح آب زیرزمینی با استفاده از رویکرد شبیه سازی- بهینه سازی مد نظر قرار گرفت. مدل شبیه سازی مورد استفاده به منظور بررسی رفتار آبخوان تحت تاثیر احداث چاه های پمپاژ نرم افزار MODFLOW و الگوریتم بهینه سازی به منظور تعیین جانمایی و ظرفیت بهینه چاه های پمپاژ الگوریتم کرم شب تاب می باشد. مدل توسعه یافته FOA-MODFLOW بر روی آبخوان محدوده مسجد جامع شهر کرمان به منظور طراحی و جانمایی بهینه چاه های پمپاژ آب تحت هدف کمینه سازی هزینه کل طرح اجرا شد. نتایج به دست آمده حاکی از آن است که در محدوده مذکور، ضمن کاهش قابل توجه هزینه طرح نسبت به طرح پیشنهادی توسط مشاور پروژه، می توان با احداث دو حلقه چاه با مجموع نرخ پمپاژ 5503 متر مکعب در روز، به میزان حداقل 5/1 متر در محدوده مذکور افت ایجاد کرد، در شرایطی که میزان نشست زمین در محدوده طرح نیز در حد مجاز باشد. همچنین بررسی تاثیر پارامترهای مهم حاکم بر مسئله بیانگر تاثیر مقادیر حداکثر رقوم مجاز سطح آب زیرزمینی و حداکثر دبی پمپاژ چاه ها بر روی جواب های مسئله می باشد. از طرف دیگر نتایج، عملکرد مناسب رویکرد شبیه سازی- بهینه سازی مورد استفاده در حل مسائل آب زیرزمینی را نشان می دهد. در این رویکرد تلفیق یک مدل شبیه ساز با قابلیت لحاظ جوانب مختلف سیستم آبخوان و یک الگوریتم بهینه ساز فراکاوشی با قابلیت نیل به مقادیر بهینه سراسری متغیرهای تصمیم، منتج به طراحی و جانمایی بهینه چاه های برداشت از آبخوان با هدف افت سطح آب زیرزمینی شد.
    کلید واژگان: زهکشی آب زیرزمینی، چاه های پمپاژ، شبیه سازی - بهینه سازی، مدل MODFLOW، الگوریتم کرم شب تاب
    Mojtaba Shourian *, Seyed Mohammad Javad Davoodi
    High groundwater levels in urban areas pose major problems in construction and mining projects. A typical and effective solution in these situations is to dig drainage wells to lower the water table to the desired level through an appropriate pumping strategy. Although the method is efficient, the operating costs are relatively high and it is, therefore, of great importance to optimize the groundwater pumping system to save costs. In this paper, a simulation-based optimization approach is exploited to minimize the total costs through optimizing the layout and capacity of pumping wells. For this purpose, MODFLOW, the groundwater simulation software, is used to investigate aquifer behavior under pumping wells and the well-known Firefly Optimization Algorithm is exploited to find the optimal well layout and capacity. The proposed FOA-MODFLOW model is tested on the small urban ancient Grand Mosque region in Kerman City, southeast of Iran, to minimize the cost of the draining project. Experimental results indicate that the proposed cost-effective design noticeably outperforms the one proposed by the consulting engineers in terms of both the number of drilled wells and the associated pumping costs. The optimal strategy observes the constraints and demands by constructing only two wells with a total pumping rate of 5503 m3/day and a water table drawdown of more than 1.5 m provided the ground subsidence is within the allowable limit of less than 80 mm. Additionally, examination of the values obtained for the various design parameters shows that the proposed strategy is the best and its sensitivity to maximum permissible water level and pumping rates is highest as compared with other similar designs.
    Keywords: Groundwater Degradation, Pumping Wells, Simulation-Optimization, MODFLOW, firefly algorithm
  • Zohreh Omranpour, Farhad Ghassemi, Tari
    In this article a new algorithm is developed for optimizing computationally expensive simulation models. The optimization algorithm is developed for continues unconstrained single output simulation models. The algorithm is developed using two simulation optimization routines. We employed the nested partitioning (NP) routine for concentrating the search efforts in the regions which are most likely contained the global optimum, and we used the experimental design concept for selecting most promising points. Then we integrated the Particle Swarm Optimization (PSO) routine as the searching mechanism of the developed algorithm to single out the best point (optimal or a near optimal solution). Through these integrations, an algorithm was developed which is capable of optimizing digital simulation models. The efficiency of the developed algorithm was then evaluated through a computationalexperiment. Ten test problems were selected from the literature and the efficiency of the PSPO algorithm was compared by two well-known algorithms. The result of this experiment revealed that the developed algorithm provided a more accurate result comparing to these algorithms.
    Keywords: Simulation optimization, Nested Partition Algorithm, Sequential Experimental Design, Particle Swarm Optimization Algorithm
نکته
  • نتایج بر اساس تاریخ انتشار مرتب شده‌اند.
  • کلیدواژه مورد نظر شما تنها در فیلد کلیدواژگان مقالات جستجو شده‌است. به منظور حذف نتایج غیر مرتبط، جستجو تنها در مقالات مجلاتی انجام شده که با مجله ماخذ هم موضوع هستند.
  • در صورتی که می‌خواهید جستجو را در همه موضوعات و با شرایط دیگر تکرار کنید به صفحه جستجوی پیشرفته مجلات مراجعه کنید.
درخواست پشتیبانی - گزارش اشکال