Optimal Solutions of Multiproduct Batch Chemical Process Using Multiobjective Genetic Algorithm with Expert Decision System

[摘要] Optimal design problem 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 firstly formulated as a multiobjective optimization problem, to be solved using the well suited non dominating sorting genetic algorithm (NSGA-II). TheNSGA-II have 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 DMwith a complete picture of the optimal solution space to gain better and appropriate choices.Then an outranking with PROMETHEE II helps the decision-maker to finalize the selectionof a best compromise. The effectiveness of NSGA-II method with multiojective optimization problem is illustrated through two carefully referenced examples.

[学科分类] 分析化学