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This paper explores the pole-placement design problem of a robust stable infinite-impulse-response (IIR) filter to attenuate or eliminate the undesired measurement noise and proposes a strategy based on an adaptive differential evolution (ADE) algorithm to design a filter. The results are compared to the results of other popular evolutionary algorithms, e.g., particle swarm optimization (PSO), genetic...
Wolpert and Macready asserted that no single search algorithm is best on average for all problems, which is confirmed by most practical experiences. Therefore, optimization results are highly dependent on which optimization algorithm is selected and what values its parameters take. So, it is interesting to explore some more robust optimization ensembles to reduce this dependency. This paper proposed...
Determining fuzzy measure from data is an important topic in some practical applications. Some computing techniques are adopted, such as particle swarm optimization (PSO) and gradient descent algorithm (GD), to identify fuzzy measure. However, there exist some limitations. In this paper, we design a hybrid algorithm called GDPSO, through introducing GD to PSO for the first time. This algorithm has...
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