ABSTRACT
This chapter utilizes a new variant of the optimization technique, namely Cuckoo Search (CS) algorithm, to generate the liquid-liquid equilibrium (LLE) data. Liquid-liquid extraction is an important separation technology with a wide range of applications in chemical, petrochemical and pharmaceutical industries. The LLE data of multi-component systems are essential for proper understanding of the extraction process and for the designing and optimization of separation processes. Excess Gibbs free energy models, such as the nonrandom two-liquid (NRTL) and the UNIversal QUAsiChemical (UNIQUAC) models, are commonly used to predict the LLE as they provide good agreement with experimental data. The CS algorithm is a natured-inspired metaheuristic search algorithm, based on the reproduction behavior of cuckoos, that has been recently developed by Yang and Deb, 2009; Yang and Deb 2013. Specific egg-laying and breeding behavior of some cuckoo species is the basis of this optimization algorithm.
