Even though the efficiency of batch process is lower than that of continuous process, the batch process has been increased in the chemical process industry over past decade. The batch process is more suitable process to meet with the frequent changes of demands as the taste of consumers is changed within short period and life cycle of products is shortened. The researches have been classified the chemical batch process into two types, multi-product batch process and multi-purpose batch process. Until now, the multi-purpose batch process had received little attention than multi-product batch process by researchers because of several characteristics which is hard to deal with such as irregularity of production path, existence of infeasible operation sequence and complexity of operation. Park and Jung[13-14] have studied the completion times algorithm and the optimal scheduling for multi-purpose batch process which have no recirculation products through the processing units. But in the case of real industry, for example the electronic semi-conductor industry, they usually have the products with recirculation path through the processing flow. So it can't be argued without appropriate considering of recirculation of products flow. In this paper we have developed the completion times algorithms of single line multi-purpose batch process including recirculation products under consideration of the non-zero set-up times and transfer times. We also developed the optimization method, genetic algorithm, for optimal scheduling of multi-purpose batch process including recirculation products. Finally the performance of the proposed algorithms was tested by several randomly generated examples and the Gantt chart results are presented. We used Genetic Algorithm for solving the scheduling problems and optimal solutions are also presented.