MULTICRITERIA OPTIMIZATION OF MULTIPRODUCT BATCH CHEMICAL PROCESS USING GENETIC ALGORITHM

摘要

Optimal design problems are widely known by their multiple performance measures that are often competing with each other. In this paper, an optimal multiproduct batch chemical plant design is presented. The design is first formulated as a multiobjective optimization problem, to be solved using the well-suited nondominating sorting genetic algorithm (NSGA-II). The NSGA-II has the capability to achieve fine tuning of variables in determining a set of nondominating solutions distributed along the Pareto front in a single run of the algorithm. The NSGA-II ability to identify a set of optimal solutions provides the decision maker with a complete picture of the optimal solution space to gain better and appropriate choices. The effectiveness of NSGA-II method with multiobjective optimization problem is illustrated through a carefully referenced example.