OPTIMAL-DESIGN OF MULTIPRODUCT BATCH CHEMICAL PROCESS USING GENETIC ALGORITHMS

For the first time, genetic algorithms (GAs) are applied to the optima l design of the multiproduct batch chemical process (MBCP) successfull y, An effective multiparameter crossed binary coding method is develop ed, The GAs have the advantages of no special demand for initial value s of decision variables, lower computer storage, and less CPU time for computation Better results are obtained in comparison with the result s of mathematical programming (MP) and simulated annealing (SA). The e ffectiveness of GAs in solving the complex design problem of batch che mical process is demonstrated.