The productivity of the capacitive deionization (CDI) system is enhanced by determining the optimum operational and structural parameters using radial movement optimization (RMO) algorithm. Six different parameters, i.e., pool water concentration, freshwater recovery, salt ion adsorption, lowest concentration point, volumetric (based on the volume of deionized water), and gravimetric (based on salt removed) energy consumptions are used to evaluate the performance of the CDI process. During the optimization process, the decision variables are represented by the applied voltage, capacitance, flow rate, spacer volume, and cell volume. Two different optimization techniques are considered: single-objective and multi-objective functions. The obtained results by RMO optimizer are compared with those obtained using a genetic algorithm (GA). The results demonstrated that the RMO optimization technique is useful in exploring all possibilities and finding the optimum conditions for operating the CDI unit in a faster and accurate method.

中文翻译：

---

基于径向运动优化的电容去离子淡化系统最佳运行参数

通过使用径向运动优化（RMO）算法确定最佳的运行和结构参数，可以提高电容去离子（CDI）系统的生产率。六个不同的参数，即池水浓度，淡水回收率，盐离子吸附，最低浓度点，体积（基于去离子水的体积）和重量（基于去除盐分）的能量消耗，用于评估电池的性能。 CDI流程。在优化过程中，决策变量由施加的电压，电容，流速，间隔物体积和电池体积表示。考虑了两种不同的优化技术：单目标和多目标函数。将RMO优化器获得的结果与使用遗传算法（GA）获得的结果进行比较。