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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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发表于 2025-3-21 17:16:39 | 显示全部楼层 |阅读模式
书目名称Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Appli
编辑Oscar Castillo,Patricia Ochoa,Jose Soria
视频video
概述Focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area.Demonstrates that using fuzzy systems combined
丛书名称SpringerBriefs in Applied Sciences and Technology
图书封面Titlebook: Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Appli;  Oscar Castillo,Patricia Ochoa,Jose S
描述.This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers’ behavior in complex control problems..
出版日期Book 2021
关键词Computational Intelligence; Fuzzy Logic; Differential Evolution Algorithm; Fuzzy Controller; Complex Con
版次1
doihttps://doi.org/10.1007/978-3-030-62133-9
isbn_softcover978-3-030-62132-2
isbn_ebook978-3-030-62133-9Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s), under exclusive license to Springer Nature Switzerland AG 2021
The information of publication is updating

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发表于 2025-3-21 23:29:47 | 显示全部楼层
Conclusions, 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
发表于 2025-3-22 03:29:32 | 显示全部楼层
2191-530X der in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers’ behavior in complex control problems..978-3-030-62132-2978-3-030-62133-9Series ISSN 2191-530X Series E-ISSN 2191-5318
发表于 2025-3-22 05:13:28 | 显示全部楼层
Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Appli
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发表于 2025-3-23 04:09:50 | 显示全部楼层
Xiaodan Du,Junle Yang,Jin Li,Jian Wang 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 fuzzy logic to optimize the DE parameters improves performance, and for this book we have shown this with statistical tests.
发表于 2025-3-23 06:50:37 | 显示全部楼层
Conclusions, 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 fuzzy logic to optimize the DE parameters improves performance, and for this book we have shown this with statistical tests.
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