Search for: [Abstract = "First, we adopt the Weighted Sum Method \(WSM\), which is an aggregative method combined with a Genetic Algorithm \(GA\) used to minimize a single criterion generated by the WSM. Second, we use the Non\- Dominated Sorting Genetic Algorithm II \(NSGA\-II\) as a Pareto method and we compare the results of both the methods. The performance of the two strategies in the adjustment of multivariable predictive control is illustrated by a simulation example. The simulation results confirm that a multiobjective, Pareto\-based GA search yields a better performance than a single objective GA."]

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