Applying GA-PSO-TLBO approach to engineering optimization problems
Mathematical Biosciences and Engineering, 2023 Under addressing global competition, manufacturing companies strive to produce better and cheaper products more quickly. For a complex production system, the design problem is intrinsically a daunting optimization task often involving multiple ...
YoungSu Yun +2 more
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IEEE Access, 2022 Background: The use of renewable energies is extended due to their valuable features such as abundant and clarity. The microgrids that include the renewable energies are widely used in various applications such as power supplying of remote areas ...
Mohammad Hosein Sabzalian +8 more
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Optimize TSK Fuzzy Systems for Regression Problems: Minibatch Gradient Descent With Regularization, DropRule, and AdaBound (MBGD-RDA) [PDF]
IEEE transactions on fuzzy systems, 2019 Takagi–Sugeno–Kang (TSK) fuzzy systems are very useful machine learning models for regression problems. However, to our knowledge, there has not existed an efficient and effective training algorithm that ensures their generalization performance and also ...
Dongrui Wu, Ye Yuan, Yihua Tan
semanticscholar +1 more source
Observability and Decentralized Control of Fuzzy Discrete Event Systems [PDF]
, 2005 Fuzzy discrete event systems as a generalization of (crisp) discrete event systems have been introduced in order that it is possible to effectively represent uncertainty, imprecision, and vagueness arising from the dynamic of systems.
Cao, Yongzhi, Ying, Mingsheng
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Sustainable Closed-Loop Supply Chain Design Problem: A Hybrid Genetic Algorithm Approach
Mathematics, 2020 In this paper, we propose a solution to the sustainable closed-loop supply chain (SCLSC) design problem. Three factors (economic, environmental, and social) are considered for the problem and the three following requirements are addressed while ...
YoungSu Yun +2 more
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Fuzzy Logic Applied to System Monitors
IEEE Access, 2021 System monitors are applications used to monitor other systems (often mission critical) and take corrective actions upon a system failure. Rather than reactively take action after a failure, the potential of fuzzy logic to anticipate and proactively take
Noel Khan +3 more
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Reliability and Sensitivity Analysis of Structures Using Adaptive Neuro-Fuzzy Systems [PDF]
Journal of Rehabilitation in Civil Engineering, 2020 In this study, Adaptive Neuro-Fuzzy Inference System (ANFIS) and Monte Carlo simulation are applied for reliability analysis of structures. The drawback of Monte Carlo Simulation is the amount of computational efforts.
Amin Ghorbani, Mohamad Reza Ghasemi
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An observer design for Takagi-Sugeno fuzzy bilinear control systems [PDF]
Archives of Control Sciences, 2023 In this paper, the observer design problem for a T-S fuzzy bilinear control system is investigated. First, an observer of Kalman type is designed to estimate the system states for the linear case.
François Delmotte +3 more
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On the Functional Equivalence of TSK Fuzzy Systems to Neural Networks, Mixture of Experts, CART, and Stacking Ensemble Regression [PDF]
IEEE transactions on fuzzy systems, 2019 Fuzzy systems have achieved great success in numerous applications. However, there are still many challenges in designing an optimal fuzzy system, e.g., how to efficiently optimize its parameters, how to balance the trade-off between cooperations and ...
Dongrui Wu +3 more
semanticscholar +1 more source
Simulating FRSN P Systems with Real Numbers in P-Lingua on sequential and CUDA platforms [PDF]
, 2015 Fuzzy Reasoning Spiking Neural P systems (FRSN P systems, for short) is a variant of Spiking Neural P systems incorporating fuzzy logic elements that make it suitable to model fuzzy diagnosis knowledge and reasoning required for fault diagnosis ...
Macías Ramos, Luis Felipe +2 more
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