SUSSOL—Using Artificial Intelligence for Greener Solvent Selection and Substitution

Greener Solvent Selection, Solvent Recycling and Optimal Control for Pharmaceutical and Bio-processing Industries

This paper proposes the simultaneous integration of environmentally benign solvent selection (chemical synthesis), solvent recycling (process synthesis) and optimal control for the separation of azeotropic systems using batch distillation. The previous work performed by Kim et al. (2004) combines the chemical synthesis and process synthesis under uncertainty. For batch distillation, optimal ope...

Artificial Intelligence Technique Selection

Using Artificial Intelligence for Model Selection

We apply the optimization algorithm Adaptive Simulated Annealing (ASA) to the problem of analyzing data on a large population and selecting the best model to predict the probability that an individual with various traits will have a particular disease. We compare ASA with traditional forward and backward regression on computer simulated data. We find that the traditional methods of modeling are...

Artificial Intelligence for Artificial Artificial Intelligence

Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...

Optimal Selection of Active Suspension Parameters Using Artificial Intelligence

In this paper, multi-objective uniform-diversity genetic algorithm (MUGA) with a diversity preserving mechanism called the ε-elimination algorithm is used for Pareto optimization of 5-degree of freedom vehicle vibration model considering the five conflicting functions simultaneously. The important conflicting objective functions that have been considered in this work are, namely, vertical accel...