Các bài báo công bố quốc tế

Tran Trong Dao, Investigation on Evolutionary Computation Techniques of a Nonlinear System, Modelling and Simulation in Engineering, vol. 2011, Article ID 496732, 21 pages, 2011. doi:10.1155/2011/496732

Abstract. The main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used for the simulation and optimization of a nonlinear system. A nonlinear mathematical model is required to describe the dynamic behaviour of batch process; this justifies the use of evolutionary method of the EAs to deal with this process. Four algorithms from the field of artificial intelligent—differential evolution (DE), self-organizing migrating algorithm (SOMA), genetic algorithm (GA), and simulated annealing (SA)—are used in this investigation. The results show that EAs are used successfully in the process optimization.