Method of Inequality-Based Multiobjective Genetic Algorithm for Optimizing Cart-Double-Pendulum-System
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چکیده
This article presents a multiobjective genetic algorithm to tracking the optimal parameterization problem of the controller concerning the swinging-up and handstand-control of the general cart-doublependulum system (CDPS). The design based on the Human-Simulated Intelligent Control (HSIC) theory is required to meet various criteria according to the expected specifications. The proposed algorithm extends from the original method of inequality-based multiobjective genetic algorithm (MMGA) and can efficiently maintain the Pareto set of the CDPS optimal parameters in the evolutionary population.
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تاریخ انتشار 2008