Titlebook: Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Appli; Oscar Castillo,Patricia Ochoa,Jose S

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Fei Dong,Jiaying Tang,Pingfeng Dailers for non-linear plants. The Differential Evolution algorithm is enhanced using Type-1 and Interval Type-2 fuzzy systems for achieving dynamic adaptation of the mutation parameter. In this chapter four control optimization problems in which the Differential Evolution algorithm optimizes the membe

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Xiaodan Du,Junle Yang,Jin Li,Jian Wang Type-1, Interval Type-2 and Generalized Type-2 fuzzy systems to be able to make a comparative study of the DE performance. In this case the different Differential Evolution variants were applied to a set of Benchmark control problems, and as a conclusion of our work we can state that the use of fuz

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978-3-030-62132-2The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

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SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/d/image/278713.jpg

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Radiology of Infectious Diseases: Volume 2In this chapter, the description of the Differential Evolution algorithm is explained.

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