Abstract: Abstract：Multi-objective optimal design of batch process with minimization of investment and environmental impact has been addressed as a mono-objective optimization with a weight factor for the environment term. But there is no easy way to get a right value for the weight factor. It is necessary to solve the problem and give a group of solutions, so that the designer can have more alternatives to make decision. In the present paper, the problem is solved with a multi-objective genetic algorithm (GA) optimization method combined with linear programming (LP) and a group of Pareto solutions are provided. The results are compared with those of mono-objective optimization with a weight factor for the environment term. The proposed method is shown to be effective for solving the addressed multi-objective optimization problems, and the results provide more alternatives for decision-making for batch plant design with the consideration of environmental impact.