Abstract To solve lexicographic optimization problem, the fitness function with dynamic coefficients is introduced into multi-objective genetic algorithm. Then a multi-objective controller is built based on this genetic algorithm. Simulation results of Shell standard control problem illustrate the proposed algorithm is efficient and its performance is also investigated under uncertainty of gains or big disturbance.
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2008, Vol. 21 
