Introduction.- DNA computing based RNA-GA.- DNA double-helix based hybrid genetic algorithm.- DNA computing based multi-objective genetic algorithm.- Parameter identification and optimization for chemical process.- RBF neural network for nonlinear SISO system.- T-S Fuzzy neural network for nonlinear SISO system.- PCA & GA based ARX plus RBF Modeling for Nonlinear DPS.- GA based predictive control design.- MOGA based PID controller design.- Concluding Remarks.
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