基于模糊规划的不确定参数生活污水处理厂污染物降解过程优化决策支持

Q3 Mathematics

International Journal for Simulation and Multidisciplinary Design Optimization Pub Date : 2023-01-01 DOI:10.1051/smdo/2023010

Sunarsih Sunarsih, Dwi Purwantoro Sasongko, Siti Khabibah, Sutrisno Sutrisno

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引用次数: 0

摘要

本文采用模糊优化模型对生活污水处理厂兼水池的污染物降解过程进行了优化。模糊参数是由于不确定的情况，这消除了管理者收集数据的需要，特别是当数据不再代表真实情况时。管理者根据他们的直觉和使用所提供的决策工具的经验来制定问题中的模糊参数。在LINGO 19.0优化软件中，采用基于模糊的规划方法，采用广义梯度算法对本文提出的模糊优化模型进行求解。此外，对确定参数和模糊参数分别进行了二次数据和生成数据的数值实验。结果表明，该模型达到了最优决策，管理者可以将该模型应用于生活污水处理厂的管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Decision-making support for optimizing pollutant degradation processes in domestic wastewater treatment plants involving uncertain parameters via fuzzy programming approaches

A fuzzy optimization model was implemented in this study as a decision-making approach to optimize pollutant degradation processes in facultative ponds of domestic wastewater treatment plants. The fuzzy parameters are due to uncertain situations, which eliminate the need for managers to collect data, particularly when the data are no longer represent the real situation. The managers formulate the fuzzy parameters in the problem based on their intuition and experience in using the provided decision-making tool. Also, the fuzzy optimization model proposed in this study was solved using the fuzzy-based programming approach with the generalized gradient algorithm performed in LINGO 19.0 optimization software. In addition, the numerical experiment was conducted with secondary and generated data for the certain and fuzzy parameters, respectively. The results showed that optimal decisions were achieved and the manager can then use the proposed model in managing domestic wastewater treatment plants.

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来源期刊

International Journal for Simulation and Multidisciplinary Design Optimization Mathematics-Control and Optimization

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

16 weeks

期刊介绍： The International Journal for Simulation and Multidisciplinary Design Optimization is a peer-reviewed journal covering all aspects related to the simulation and multidisciplinary design optimization. It is devoted to publish original work related to advanced design methodologies, theoretical approaches, contemporary computers and their applications to different fields such as engineering software/hardware developments, science, computing techniques, aerospace, automobile, aeronautic, business, management, manufacturing,... etc. Front-edge research topics related to topology optimization, composite material design, numerical simulation of manufacturing process, advanced optimization algorithms, industrial applications of optimization methods are highly suggested. The scope includes, but is not limited to original research contributions, reviews in the following topics: Parameter identification & Surface Response (all aspects of characterization and modeling of materials and structural behaviors, Artificial Neural Network, Parametric Programming, approximation methods,…etc.) Optimization Strategies (optimization methods that involve heuristic or Mathematics approaches, Control Theory, Linear & Nonlinear Programming, Stochastic Programming, Discrete & Dynamic Programming, Operational Research, Algorithms in Optimization based on nature behaviors,….etc.) Structural Optimization (sizing, shape and topology optimizations with or without external constraints for materials and structures) Dynamic and Vibration (cover modelling and simulation for dynamic and vibration analysis, shape and topology optimizations with or without external constraints for materials and structures) Industrial Applications (Applications Related to Optimization, Modelling for Engineering applications are very welcome. Authors should underline the technological, numerical or integration of the mentioned scopes.).