I&EC 141

This talk deals with application of multiobjective optimization in the innovative design of SMB systems. The selections of the operating parameters such as length and number of columns, switching time, and liquid flow rates in different sections are not straightforward. In most cases, conflicting requirements and constraints govern the optimal choice of the decision (operating or design) variables. A few multiobjective optimization problems were solved using a non-traditional optimization technique based on an adaptation of genetic algorithm, elitist non-dominated sorting genetic algorithm with jumping genes. The results will be presented for enentio-separation of racemic Pindolol on chiral AGP stationary phase. In addition, results for recent modification of SMB systems (named as Varicol process), which is based on a non-synchronous shift of the inlet and outlet ports instead of the synchronous one used in the SMB technology, will be presented. Pareto optimal solutions are obtained in all cases, and moreover, it was found that the performance of SMB (and Varicol) could be improved significantly under optimal operating conditions. The optimized solutions are verified experimentally.