Control of TAME reactive distillation using Non-Dominated Sorting Genetic Algorithm-II

The control system performs poor in characteristics and even it becomes unstable, if improper values of the controller tuning constants are used. So it becomes necessary to tune the controller parameters to achieve good control performance with the proper choice of tuning constants. Many control problems involve simultaneous optimization of multiple variables that competing with each other. In this paper, the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) has been successfully applied to optimization of dynamic state of t-amyl-methyl-ether (TAME) reactive distillation process. This paper presents the tuning of Proportional-Integral-Derivative (PID) controllers by minimizing of two objective functions (overshoot and Integral of Absolute Error (IAE)) through the NSGA-II. Results show that genetic algorithm is more suitable method for optimal control of the TAME reactive distillation columns than traditional methods such as Tyreus-Luyben.     

基于多目标优化与综合评价的海绵城市规划设计

海绵城市源头减排设施已被广泛应用于城市雨水径流削减与污染控制,但仍缺乏一种综合评价方法来实现其科学规划设计.本研究构建了一种基于多目标优化与综合评价相耦合的海绵城市规划设计方法,以建设成本、雨水综合径流系数、污染物综合控制率为目标函数,以源头减排设施建设规模和海绵城市径流控制指标作为边界条件,建立基于快速分类的非支配遗传算法（NSGA-Ⅱ）的多目标优化模型;然后结合层次分析法对优化解集进行综合指标评价,得出最优化设计方案.利用该方法以研究区A为案例,构建了一套建设成本最小化、水文水质效益最大化的设计方案,并通过海绵城市建设前后的暴雨洪水管理模型（SWMM）,评估最优化方案的降雨径流控制与径流污染控制效果.研究结果表明,海绵城市建设能大幅削减雨水径流量,年径流总量控制率达70.1%;雨水峰值流量削减率超过40%,同时延后径流峰值出现时间;有效降低雨水径流污染,研究区各类污染物综合削减率均超过30%.本文提出的多目标优化与综合评价方法,能够基于特定的目标与需求,针对性提出适合区域发展的海绵建设方案,为海绵城市规划设计提供技术支持.     

考虑救援时效的化工园区应急物资储备站点选址模型研究

针对化工园区的应急物资储备站点选址问题,在同时考虑经济因素以及救援效果的基础上,建立了多目标覆盖选址模型,同时引入了应急救援时效函数,以反映物资运输时间对救援效果的影响。最后将模型应用于江苏省南部的化工园区应急物资储存站点的选址问题进行算例分析,使用NSGA-II算法对模型进行求解,并采用TODIM法对得到的帕累托最优解进行排序,为决策者选取最终方案做出了参考。     

A Conflict-Resolution Model for the Conjunctive Use of Surface and Groundwater Resources that Considers Water-Quality Issues: A Case Study

The conjunctive use of surface and groundwater resources is one alternative for optimal use of available water resources in arid and semiarid regions. The optimization models proposed for conjunctive water allocation are often complicated, nonlinear, and computationally intensive, especially when different stakeholders are involved that have conflicting interests. In this article, a new conflict-resolution methodology developed for the conjunctive use of surface and groundwater resources using Nondominated Sorting Genetic Algorithm II (NSGA-II) and Young Conflict-Resolution Theory (YCRT) is presented. The proposed model is applied to the Tehran aquifer in the Tehran metropolitan area of Iran. Stakeholders in the study area have conflicting interests related to water supply with acceptable quality, pumping costs, groundwater quality, and groundwater table fluctuations. In the proposed methodology, MODFLOW and MT3D groundwater quantity and quality simulation models are linked with the NSGA-II optimization model to develop Pareto fronts among the objectives. The best solutions on the Pareto fronts are then selected using YCRT. The results of the proposed model show the significance of applying an integrated conflict-resolution approach to conjunctive use of surface and groundwater resources in the study area.     

Optimal control of distillation column using Non-Dominated Sorting Genetic Algorithm-II

Many control problems involve simultaneous optimization of multiple performance measures that are often non-commensurable and competing with each other. The presence of multiple objectives in a problem usually gives rise to one set of optimal solutions, largely known as Pareto-optimal solutions. In this paper, the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) has been successfully applied to optimization of dynamic state of simple distillation process. This paper presents the tuning of Proportional-Integral-Derivative (PID) controllers by minimizing of three objective functions (overshoot, response time, and Integral of Absolute Error (IAE)) through NSGA-II. A MATLAB code for real-parameter NSGA-II has been coupled with HYSYS v.3.1 process simulator for simulation and optimization of process. Optimization numerical results show that genetic algorithm is more suitable method for optimal control of distillation columns than traditional methods.     

An integrated model for structure optimization and technology screening of urban wastewater systems

The conventional approach to wastewater system design and planning considers each component separately and does not provide the optimum performance of the entire system. However, the growing concern for environmental protection, economic efficiency, and sustainability of urban wastewater systems requires an integrated modeling of subsystems and a synthetic evaluation of multiple objectives. In this study, a multi-objective optimization model of an integrated urban wastewater system was developed. The model encompasses subsystems, such as a sewer system, stormwater management, municipal wastewater treatment, and a wastewater reclamation system. The non-dominated sorting genetic algorithm (NSGA-II) was used to generate a range of system design possibilities to optimize conflicting environmental and economic objectives. Information from a knowledge base, which included rules for generating treatment trains as well as the performance characteristics of commonly used water pollution control measures, was utilized. The trade-off relationships between the objectives, total water pollution loads to the environment, and life cycle costs (which consist of investment as well as operation and maintenance costs), can be illustrated using Pareto charts. The developed model can be used to assist decision makers in the preliminary planning of system structure. A benchmark city was constructed to illustrate the methods of multi-objective controls, highlight cost-effective water pollution control measures, and identify the main pressures on urban water environment.     

基于NSGA-II的工业区急救点优化布局研究

针对工业区急救点布局存在的问题,综合考虑多种影响因素,建立多目标多约束数学模型.将成本、急救时间和急救点数量作为3个优化目标,并根据实际情况构建相应的约束条件.运用NSGA-II(带精英策略的快速非支配排序遗传算法)解决多目标优化问题,最终得到一系列Pareto最优解,其解空间分布均匀,并且具有良好的收敛性和鲁棒性.文章结合某工业区急救点优化问题对算法进行验证,结果与实际情况匹配良好,此研究具有重要的现实意义.     

基于GA的感潮河流水污染控制多目标优化

文章针对感潮河流水质时空变化的特点,建立了污水处理费用函数、动态水质模型与NSGA-Ⅱ算法相耦合的流域水污染控制多目标优化方法。采用该方法对深圳河流域5个污水处理厂的污染物去除效率进行优化,得到流域污水处理费用与河流上、中、下游控制断面水质潮周期超标率的多目标解集排列图。结果表明:(1)所有控制断面水质超标率都小于50%、25%和0%时,最小处理费用分别为1.92、1.94和1.98亿元/a;(2)上、中、下游控制断面各自的水质超标率为0%时,最小处理费用分别为1.98、1.91和1.90亿元/a。决策者可根据水质管理要求和经济条件在多目标解集排列图中进行方案比选。该方法的应用可为感潮河流水污染控制提供科学依据。