The main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used\r\nfor the simulation and optimization of a nonlinear system. A nonlinear mathematical model is required to describe the dynamic\r\nbehaviour of batch process; this justifies the use of evolutionary method of the EAs to deal with this process. Four algorithms\r\nfrom the field of artificial intelligentââ?¬â?differential evolution (DE), self-organizing migrating algorithm (SOMA), genetic algorithm\r\n(GA), and simulated annealing (SA)ââ?¬â?are used in this investigation. The results show that EAs are used successfully in the process\r\noptimization.
Loading....