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Chaotic gradient based optimizer for solving multidimensional unconstrained and constrained optimization problems
Gradient-based optimizer (GRAD) belongs to the recently developed population-based metaheuristic algorithms inspired by the development of...
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Optimizing reactive power dispatch in electrical networks using a hybrid artificial rabbits and gradient-based optimization
The optimal reactive power dispatch (ORPD) problem is a critical factor in maintaining the safe and efficient operation of electric networks. Due to...
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Topology optimization of gradient lattice structure under harmonic load based on multiscale finite element method
This work develops a topological optimization framework for parametric lattice structure design under harmonic load based on the scale-dependent...
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Semi-analytical gradient-based optimization of exact CAD models using intermediate field representations
This paper proposes an approach to bridge the gap between industrial applications of Computer Aided Design (CAD) and Topology Optimization (TO) by...
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Lightworks, a scientific research framework for the design of stiffened composite-panel structures using gradient-based optimization
Efficient structural optimization remains integral in advancing lightweight structures, particularly concerning the mitigation of environmental...
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Real power loss dwindling and voltage reliability enrichment by gradient based optimization algorithm
This paper proposes Gradient based Optimization (GO) Algorithm for genuine loss lessening. Important goals of the paper are Power fidelity extension,...
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Gradient Descent-Based Optimization Algorithms for Batch-Normalized Convolutional Neural Networks
In this paper, the author carries out a comparative evaluation of nine of the most generally utilised first-order stochastic gradient-based... -
Superquantile-Based Learning: A Direct Approach Using Gradient-Based Optimization
We consider a formulation of supervised learning that endows models with robustness to distributional shifts from training to testing. The...
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Multi-objective gradient-based intelligent optimization of ultra-high-strength galvanized TRIP steels
In this paper, a novel gradient-based algorithm named Kernel-based hybrid multi-objective optimization (KHMO) is implemented and coupled with a...
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A Gradient-based Sequential Multifidelity Approach to Multidisciplinary Design Optimization
Multifidelity design optimization is a strategy that can reduce the high computational cost in cases where the high-fidelity model is too expensive...
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A Comparative Analysis of Gradient-Based Optimization Methods for Machine Learning Problems
In this study, we compare and contrast the seven most widely used gradient-based optimization algorithms of the first order for machine learning... -
Gradient eigendecomposition invariance biogeography-based optimization for mobile robot path planning
The path planning for mobile robots has attracted extensive attention, and evolutionary algorithms have been applied to this problem increasingly. In...
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Gradient descent based restoration method of track irregularity in asymmetric chord reference method
This paper proposes a gradient descent based restoration method of track irregularity. Based on the theory of asymmetric chord-reference method...
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Gradient Based Grasp Pose Optimization on a NeRF that Approximates Grasp Success
Current robotic gras** methods often rely on estimating the pose of the target object, explicitly predicting grasp poses, or implicitly estimating... -
Gradient-Based Optimizer for Structural Optimization Problems
Meta-heuristic algorithms are stochastic search methods that have been used for quite a long time to solve complex, non-linear optimization problems... -
Compressive strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme gradient boosting technique
Concrete is the most commonly used construction material. However, its production leads to high carbon dioxide (CO 2 ) emissions and energy...
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A new chaos cat swarm optimization algorithm based on saliency gradient for power equipment infrared and visible images registration
Visible and infrared images are important ways for the power inspection robot to detect the status of power equipment. Image registration can make...
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A review of flexible multibody dynamics for gradient-based design optimization
Design optimization of flexible multibody dynamics is critical to reducing weight and therefore increasing efficiency and lowering costs of...
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Cluster based hybrid optimization and kronecker gradient factored approximate optimum path curvature network for energy efficiency routing in WSN
Sensors are placed in a specified area in Wireless Sensor Networks (WSNs) which sense the physical parameter of an environment. Upon sensing,...
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RETRACTED ARTICLE: Explainable AI Model for Recognizing Financial Crisis Roots Based on Pigeon Optimization and Gradient Boosting Model
Utilizing Artificial Intelligence (AI) techniques to forecast, recognize, and classify financial crisis roots are important research challenges that...