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Nonlinear spline prioritization optimization generalized hyperbolic secant adaptive filtering against alpha-stable noise
In order to mitigate the interference of impulsive noises in the identification of nonlinear systems using spline prioritization optimization...
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Optimization of parameters of plastic grinding machine using generalized reduced gradient non-linear programming
The focus of current research on plastic grinding machines has been the improvement of efficiency. Parameters such as the number of rotor blades,...
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Wind turbine airfoils optimization design by generalized regression neural network under small sample
Neural network models can quickly and accurately predict the aerodynamic performance of wind turbine airfoils based on existing data, but the...
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Parametric study and multi-parameter optimization of a generalized second-order tri-stable stochastic resonance system
The weak signal extraction methods based on stochastic resonance (SR) are extensively studied due to their ability of utilizing noise energy to...
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Yarn Hairiness Prediction by Generalized Regression Neural Network based on Harris Hawk Optimization
Yarn hairiness is an important indicator of yarn quality. It affects not only the quality of yarn but also the woven and knitted performance of yarn...
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A novel generalized normal distribution arithmetic optimization algorithm for global optimization and data clustering problems
In the recent years of the progress of data volumes and the emergence of complexity in solving large and complex problems, the need for advanced and...
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Analysis and Optimization of Multistage Mixed Refrigerant Systems Using Generalized Disjunctive Programming
The synthesis and optimization of multistage mixed refrigerant systems is a highly challenging and complex problem. It is computationally expensive,...
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A Multi-objective Generalized Teacher-Learning-Based-Optimization Algorithm
Teaching–Learning-Based Optimization (TLBO) was developed to solve single-objective optimization problems. It is inspired by the theory of...
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Validation and optimization of generalized porous media property relation for their use in volumetric solar receiver
Recently, the use of generalised correlations to calculate drop in pressure and transfer of heat in reticulated porous structure is proposed....
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Markdown Optimization with Generalized Weighted Least Squares Estimation
Retailers increasingly apply price markdowns for their seasonal products. Efficiency of these markdown applications is driven by the accuracy of...
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Generalized Uncertainty Optimization
This chapter focuses on generalized uncertainty optimization. Specifically, we develop in more detail four types of generalized uncertainty...
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An optimization method for studying fractional-order tuberculosis disease model via generalized Laguerre polynomials
Tuberculosis (TB) is a deadly contagious disease that affects vital organs of the body, especially the lungs. Although the disease is preventable,...
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Design of AUV Controllers Based on Generalized S-Plane Function and AFSA Optimization
To enhance the control quality of intelligent underwater vehicles, a capacitor-plate model is introduced and generalized S-plane control is put...
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Generalized Proximal Methods for Pose Graph Optimization
In this paper, we generalize proximal methods that were originally designed for convex optimization on normed vector space to non-convex pose graph...
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Solving a Generalized Network Design Problem Using the Archimedes Optimization Algorithm
Network design decisions in strategic communication networks have attracted widespread interest from the scientific community in the last decades....
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Flexible and Generalized Uncertainty Optimization Theory and Approaches
This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory of generalized...
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Generalized Hukuhara Hadamard derivative of interval-valued functions and its applications to interval optimization
In this article, we study the notion of gH -Hadamard derivative for interval-valued functions (IVFs) and apply it to solve interval optimization...
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Generalized Response Features
Solving simulation-driven design problems using response features has numerous advantages that include improved computational efficiency and...
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Generalized Optimization: A First Step Towards Category Theoretic Learning Theory
The Cartesian reverse derivative is a categorical generalization of reverse-mode automatic differentiation. We use this operator to generalize...
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Hybrid Generalized Normal Distribution Optimization with Sine Cosine Algorithm for Global Optimization
This paper proposes two hybrid versions of the generalized normal distribution optimization (GNDO) and sine cosine algorithm (SCA) for global...