the optimization of process conditions for the degradation of acid blue 193 by uv/peroxydisulfate was investigated using response surface methodology (rsm). the effects of four parameters namely initial k2s2o8 concentration, uv irradiation, temperature, and initial dye concentration on two process responses, color removal and the rate constants of the first-order kinetic equations, were investi...

Many real-world analytics problems involve two significant challenges: prediction and optimization. Due to the typically complex nature of each challenge, the standard paradigm is to predict, then optimize. By and large, machine learning tools are intended to minimize prediction error and do not account for how the predictions will be used in a downstream optimization problem. In contrast, we p...

Algorithm design is a laborious process and often requires many iterations of ideation and validation. In this paper, we explore automating algorithm design and present a method to learn an optimization algorithm. We approach this problem from a reinforcement learning perspective and represent any particular optimization algorithm as a policy. We learn an optimization algorithm using guided pol...

in this study response surface methodology was used to optimize process conditions and to evaluate the effect of ultrasound on quality attributes (antioxidant activity, ph, total soluble solid, turbidity) and the inactivation of escherichia coli bacteria in carrot juice. independent variables in this study were temperature (25-50°c), time (20-40 min) and frequency (0-130 khz). in this study the...

Fluid catalytic cracking (FCC) process is a vital refinery process which majorly produces gasoline. In this research, a hybrid algorithm which was constituted of Adaptive Neuro-Fuzzy Inference System (ANFIS) and firefly optimization algorithm was developed to model the process and optimize the operating conditions. To conduct the research, industrial data of Abadan refinery FCC process were car...

We have developed a 0D model of aqueous organic redox flow battery to better understanding the impact oxygen and hydrogen evolution as parasitic side reaction on performances. This lumped approach is able account for multiple processes at each electrode, which, our knowledge has not been described in literature. In this article study focused alkaline validated 2,6-dihydroanthraquinone/ferrocyan...

Group formation strategies have the goal of providing the participating students with the good initial conditions for collaborative learning. Continuing with the existing methods to set up the initial conditions to make peer interaction more likely happen, we propose a method for dynamically recomposing learning groups based on intra-group iteration analysis to optimize the learning group forma...