A high-speed interval type 2 fuzzy system approach for dynamic parameter adaptation in metaheuristics

Castillo, Oscar; Melín, Patricia; Ontiveros, Emanuel; Peraza, Cinthia; Ochoa, Patricia; Valdez, Fevrier; Soria, José Manuel Nieto

doi:10.1016/j.engappai.2019.07.020

Cited by 67 publications

(23 citation statements)

References 12 publications

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“…It is relevant to mention that the comparison is only with the best results since the reference does not provide means and standard deviations to be able to perform a sound statistical test. However, based on the information summarized in Table 9 we can state the proposed method in this paper outperforms the methods presented in [36].…”

Section: Homentioning

confidence: 81%

“…To verify the efficiency of the GT2FDE fuzzy system, which is statistically better than ST2FDE, we also performed a comparison with the best results obtained in [36]. This previous work used a structure of the fuzzy system that is similar to the one we use here, an input and an output, where we used the differential evolution algorithm and harmony search (HS).…”

Section: Homentioning

confidence: 99%

“…Table 9 summarizes a comparison of the best results obtained using a high-speed interval Type-2 fuzzy system for parameter adjustment in the DE and HS algorithms [36] and the GT2FDE methodology proposed in this work.…”

Section: Homentioning

confidence: 99%

See 2 more Smart Citations

Differential Evolution With Shadowed and General Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Optimal Design of Fuzzy Controllers

Ochoa¹,

Castillo²,

Melín³

et al. 2021

Preprint

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This work is mainly focused on improving the differential evolution algorithm with the utilization of shadowed and general type 2 fuzzy systems to dynamically adapt one of the parameters of the evolutionary method. In this case, the mutation parameter is dynamically moved during the evolution process by using a shadowed and general type-2 fuzzy systems. The main idea of this work is to make a performance comparison between using shadowed and general type 2 fuzzy systems as controllers of the mutation parameter in differential evolution. The performance is compared with the problem of optimizing fuzzy controllers for a D.C. Motor. Simulation results show that general type-2 fuzzy systems are better when higher levels of noise are considered in the controller.

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Section: Homentioning

confidence: 81%

Section: Homentioning

confidence: 99%

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Differential Evolution With Shadowed and General Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Optimal Design of Fuzzy Controllers

Ochoa¹,

Castillo²,

Melín³

et al. 2021

Preprint

Self Cite

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“…Researchers have also introduced fuzzy systems for dynamic parameter adaption in metaheuristics for multilevel thresholding [93][94][95][96].…”

Section: Optimal Multilevel Thresholding Methodsmentioning

confidence: 99%

State-of-the Art Optimal Multilevel Thresholding Methods for Brain MR Image Analysis

Das¹,

Agrawal²,

Samantaray³

et al. 2020

RIA

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The brain MR image analysis is a primary non-invasive component to detect any abnormality in the brain. It is a very important application in the field of medical image processing. For analysing brain MR images, there is a strong need to develop efficient image segmentation methods. Over the years, many image segmentation techniques have been suggested and their real life applications have also been studied. Implementation of these segmentation techniques in biomedical engineering is a major breakthrough. Intensive research works have been carried out explicitly on the analysis of human brain images and their subsequent detection of lesion cells using different segmentation methods. One of the easiest and most generally used method of segmentation is multilevel thresholding due to its precision and robustness against the other methods. To solve the problem of computational complexity for increasing threshold levels, various optimization algorithms are used for optimal multilevel thresholding. In this paper, an attempt is made to present a comprehensive review on the recent advancements in the area of brain MR image segmentation using optimal multilevel thresholding. This review is unique of its kind due to its exclusive emphasis on segmentation of brain MR image using thresholding technique only, which may not be present in the existing literature reviews. Different validation measures used for the multilevel image thresholding are discussed. A detailed comparison of the results obtained over the years is done. The merits and demerits of the methods are highlighted. This compilation aims to aid and encourage researchers to further explore the research in this direction.

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“…In previous studies, the DE method beside fuzzy system has been used widely as an AI algorithm or machine learning method. The method has a high potentiality in the prediction of physical problems 31 – 33 . Due to its high potentiality in prediction, the method has been used in various fields.…”

Section: Introductionmentioning

confidence: 99%

Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm

Babanezhad

Zabihi

Behroyan

et al. 2021

Sci Rep

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In this investigation, differential evolution (DE) algorithm with the fuzzy inference system (FIS) are combined and the DE algorithm is employed in FIS training process. Considered data in this study were extracted from simulation of a 2D two-phase reactor in which gas was sparged from bottom of reactor, and the injected gas velocities were between 0.05 to 0.11 m/s. After doing a couple of training by making some changes in DE parameters and FIS parameters, the greatest percentage of FIS capacity was achieved. By applying the optimized model, the gas phase velocity in x direction inside the reactor was predicted when the injected gas velocity was 0.08 m/s.

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A high-speed interval type 2 fuzzy system approach for dynamic parameter adaptation in metaheuristics

Cited by 67 publications

References 12 publications

Differential Evolution With Shadowed and General Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Optimal Design of Fuzzy Controllers

Differential Evolution With Shadowed and General Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Optimal Design of Fuzzy Controllers

State-of-the Art Optimal Multilevel Thresholding Methods for Brain MR Image Analysis

Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm

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