a modified optimization method for optimal control problems of continuous stirred tank reactor

Continuous stirred tank reactor (cstr) is an important and constructive part in various chemical and process industries and therefore it is necessary to control the process in optimal temperature and concentration conditions. because of the nonlinear nature and limits of the control input, solving this problem is very difficult. to achieve a sub-optimal control policy for chemical processes, we focused on a new construction model. then, a two-phase algorithm, denoted as modified sequential general variable neighborhood search (msgvns) algorithm based on three local searches that use efficient neighborhood interchange has been employed to solve cstr problems numerically. the results of the proposed method show that its convergence to the exact solution is achieved by the accuracy comparable to other numerical algorithms in few times.