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Metaheuristic optimization algorithms: a comprehensive overview and classification of benchmark test functions
This review aims to exploit a study on different benchmark test functions used to evaluate the performance of Meta-Heuristic (MH) optimization...
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A 2D filling and solidification benchmark test: validating smoothed particle hydrodynamics (SPH) simulations for sand gravity casting
The simulation of the sand gravity casting process is complicated due to its multiscale and multiphysics nature. Although there are many commercial...
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On the development of a novel benchmark design for crack quantification in additive manufacturing
Solidification cracking (SC) is a defect that has been extensively studied in welding and casting and, consequently, standardized testing methods to...
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Radiative heat transfer calculations using full spectrum k-distribution method for benchmark test cases
In the present work, the full spectrum k -distribution method (FSK) has been adopted to calculate the radiative transfer in the presence of...
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Modeling Ultrasonic NDE Benchmark Problems Using Full-Wave Scattering Models
Many ultrasonic non-destructive evaluation measurement models use a composite technique in which processes such as transduction, beam propagation,...
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Providing a Rigorous Benchmark Measurement Foundation for Modeling-Informed Qualification and Certification of Metal Additive Manufactured Components
Metal additive manufacturing (AM) is a transformative set of technologies that are increasingly being used for demanding structural applications....
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A benchmark problem with singularities for multibody system dynamics formulations with constraints
When performing the numerical integration of multibody systems (MBS) dynamics, it is possible to choose from a wide variety of methods and...
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MUSIB: musical score inpainting benchmark
Music inpainting is a sub-task of automated music generation that aims to infill incomplete musical pieces to help musicians in their musical...
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Structural health monitoring of ASCE benchmark building using machine learning algorithms
In this study, machine learning algorithms are utilized to build a vibration-based structural health monitoring (SHM) method for steel frame...
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An Experimental Exercise as Part of the Substructuring Benchmark Structure Challenge
Some years ago, the Society for Experimental Mechanics’ (SEM) Dynamic Substructuring Technical Division (TD) recognized a need for a simpler, yet... -
A Collection of Large-Scale Benchmark Models for Nonlinear Model Order Reduction
We provide a publicly available collection of sixteen large-scale benchmark nonlinear state-space models in this contribution. The models are written...
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Stabilization of Benchmark Under-actuated Systems via Saturated Controls
In this paper, we present controllers to stabilize benchmark under-actuated systems such as inertia wheel pendulum (IWP), cart-pole, cart-pendulum,...
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Test Pattern Modification to Minimize Test Power in Sequential Circuit
Testing is a mandatory process to ensure the competence of Integrated circuit design. Testability measure in sequential circuits is arduous so, to... -
Benchmark Study on a Novel Online Dataset for Standard Evaluation of Deep Learning-based Pavement Cracks Classification Models
Highway agencies and practitioners expect to have the most efficient method with adequate accuracy when choosing a deep learning-based model for...
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Fuzzy Dynamic Adaptation of a Whale Algorithm for the Optimization of Benchmark Functions
An improved whale optimization algorithm (WOA) through the utilization of a Type-1 Fuzzy Logic System (T1FLS) for the optimization of a benchmark set... -
Effective Software Mutation-Test Using Program Instructions Classification
The quantity of bugs that a software test-data finds determines its effectiveness. A useful technique for assessing the efficacy of a test set is...
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Online vs. Offline Adaptive Domain Randomization Benchmark
Physics simulators have shown great promise for conveniently learning reinforcement learning policies in safe, unconstrained environments. However,... -
Merging and diverging operations: benchmark of three European microscopic simulation tools and comparison with analytical formulations
PurposeWe benchmark three European microscopic simulation software’s ability to reproduce congested patterns at merges and diverges by comparing...
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Commonly Used Static and Dynamic Single-Objective Optimization Benchmark Problems
Comparing and quantifying the efficiency of optimization algorithms is an inescapable aspect of research in the field of optimization. It is...