Abstract
Abstract Efficient ant colony optimization (EACO) is a new metaheuristic optimization algorithm for tackling linear, nonlinear and mixed integer nonlinear(MINLP) programming problems. In this work, a solvent selection optimization problem modeled based on a novel computer-aided molecular design (CAMD) methodology is optimized using an EACO algorithm. The molecular design problem is formulated as an MINLP model where a solvent solute distribution coefficient is maximized subject to structural feasibility, property and process constraints. The capability of the proposed methodology is illustrated through a case study of an extraction of acetic acid from waste process stream by liquid-liquid extraction. Environmentally benign new solvents with better targeted properties are proposed.
Published Version
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