A novel evolutionary ensemble prediction model using harmony search and stacking for diabetes diagnosis

Zhang, Zaiheng; Lu, Yanjie; Ye, Mingtao; Huang, Wanyu; Jin, Lixu; Zhang, Guodao; Ge, Yisu; Baghban, Alireza; Zhang, Qiwen; Wang, Haiou; Zhu, Wenzong

doi:10.1016/j.jksuci.2023.101873

Cited by 3 publications

(2 citation statements)

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“…Over time, new variants of the algorithm have been created to address the problems it presents. In the following articles, you will find an exhaustive summary of these variants [26,27] as well as some areas of application such as optimization problems [28,29] and classification [30][31][32][33].…”

Section: Original Harmony Search Algorithmmentioning

confidence: 99%

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Enhancing Control Systems through Type-3 Fuzzy Logic Optimization

Ochoa,

Peraza,

Melin

et al. 2024

Mathematics

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The advancement of new tools in the field of control systems is a contemporary development. This work introduces the utilization of Type-3 fuzzy logic, a relatively recent concept that has been applied across various disciplines. In our case, a Type-3 fuzzy system is designed to enhance the optimization of parameters within the harmony search algorithm, specifically tailored for a control problem. Through a series of experiments, the efficacy of this novel Type-3 fuzzy logic tool is put to the test. Previous studies have primarily explored Type-1 and Type-2 fuzzy logic. To assess the performance of this new Type-3 fuzzy logic tool, a comparative analysis of results is conducted using statistical testing. The introduction of Type-3 fuzzy logic in the control domain represents a novel and innovative approach. This approach extends beyond the conventional Type-1 and Type-2 fuzzy logic, showcasing the dynamic evolution in the field. Results obtained through experimentation are analyzed, and statistical tests are employed to determine whether the Type-3 fuzzy logic tool yields superior outcomes compared to its predecessors. By doing so, this study contributes to the growing body of research that explores the potential benefits of Type-3 fuzzy logic and its application in control systems, offering new perspectives and opportunities for further advancements in the field. We have to mention that the utilization of Type-3 fuzzy logic in enhancing metaheuristics is a relatively new trend, and in this work, this research has extended this to the realm of harmony search. In addition, the application of the optimal design of the ball-and-beam fuzzy controllers has not been previously carried out with the Type-3 fuzzy harmony search algorithm, which is the novelty of this study.

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