Multi-Objective Optimization of Two Dynamic Systems
نویسنده
چکیده
This paper details two problems that employ Genetic-based Multi-objective Optimization algorithms on dynamic systems. The first is a simple, single input system and the second is a complex two input system. First, the two systems are detailed with the derivation of their models. From these models, an optimization algorithm based on NSGA-II is run, constructing the Pareto Frontiers. The results are presented and then analyzed.
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تاریخ انتشار 2009