Evolution based scheduling of chemical reactions – A case study

An evolution based approach (EA) is proposed to solve real-time scheduling problem in chemical industry. To achieve optimal performance of manufactured robot in controlling the multiple reaction chemical process, an intelligent search engine based on genetic algorithm is used with imbedded optimization scheduling algorithm. EA enabled both efficient search for best scheduling of reactions and an improvement in robot use for process control. Restricted enumeration method is used as benchmark in solving this complex global optimization problem. Results obtained by different methods indicate superiority of proposed approach in both quality and time for obtaining the solution.