Batch process optimization in a multipurpose plant using Tabu Search with a design-space diversification

Three case studies are used to illustrate how the novel approach delivers extended Pareto-sets with a high variability in the design space. It has been shown why diversification in the design space is relevant to obtain solutions representing a robust set of alternatives in order to deal with potential constraints and limitations that are not covered in the problem formulation. Such an extended Pareto-set maximizes the probability that at least one of the proposed solutions will be suitable for industrial implementation.