Search
Search Results
-
Sequential conservative integer programming method for multi-constrained discrete variable structure topology optimization
The sequential approximate integer programming (SAIP) method successfully solves multiple types of large-scale topology optimization problems by...
-
Performance of a New Hybrid Conjugate Gradient Method
Currently, many modifications have been made to the conjugate gradient (CG) method. One approach is to hybridize the method. The CG method proposed...
-
A Two-Stage Structural Identification Method Using Jaya Algorithm and Gradient-Based Local Search
Numerous heuristic intelligence algorithms have been proposed to solve the optimization-based structural identification, while they suffer from slow...
-
An effective gradient and geometry enhanced sequential sampling approach for Kriging modeling
Surrogates have been widely used for replacing computationally costly computer simulations. To improve the prediction accuracy with less sampling...
-
A proportional expected improvement criterion-based multi-fidelity sequential optimization method
Multi-fidelity surrogate models fusing data from different fidelity systems can significantly reduce the computational cost while ensuring the model...
-
Multi-agent cooperation policy gradient method based on enhanced exploration for cooperative tasks
Multi-agent cooperation and coordination are often essential for task fulfillment. Multi-agent deep reinforcement learning (MADRL) can effectively...
-
A distributed adaptive policy gradient method based on momentum for multi-agent reinforcement learning
Policy Gradient (PG) method is one of the most popular algorithms in Reinforcement Learning (RL). However, distributed adaptive variants of PG are...
-
An active learning strategy of reliability-based design and optimization by parallel adaptive sequential importance candidate region method
Reliability-based design and optimization (RBDO) is increasingly critical for high-quality products. However, existing methods, such as active...
-
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...
-
Gradient-based adaptive sampling framework and application in the laser-driven ion acceleration
Physical model optimisation has frequently been complemented by experimental design in scientific research. However, it can be time consuming to...
-
Exploring the Interpretability of Sequential Predictions Through Rationale Model
Explainable Artificial Intelligence (XAI) has been a crucial research area recently, particularly for applications where transparency and...
-
Autonomous Initial Orbit Determination Using Sequential Range-Rate Measurements
We introduce an initial orbit determination technique that uses only sequential range-rate measurements along fixed lines of sight and time between...
-
Plasma Functionalized Wettability Gradient Surfaces for Electronic Cooling
In recent era, the growing requirements of miniaturization and weight reduction leads to remarkable thermal loads on small and sensitive electronic...
-
Multi-view reinforcement learning for sequential decision-making with insufficient state information
Most reinforcement learning methods describe sequential decision-making as a Markov decision process where the effect of action is only decided by...
-
Unsupervised Enhancement of Ultrasonic Sequential Images Based on High-Frequency Feature Extraction and Bi-ConvLSTM
Ultrasonic X-scan testing enables multiple equidistant layer scanning images along the direction of material thickness to obtain an overall...
-
Sequential Adaptive Fuzzy Inference System
In this chapter, a Sequential Adaptive Fuzzy Inference System called SAFIS is developed based on the functional equivalence between a radial basis...
-
Numerical investigation of the flow characteristics around two sequential cylinders with circular and square cross-sections
Many efforts have been dedicated to examining the flow characteristics around a pair of cylinders. Despite the straightforward geometry, the flow...
-
NACA four-digit airfoil series optimization: a comparison between genetic algorithm and sequential quadratic programming
In this study, the results of genetic algorithm and sequential quadratic programming are discussed for NACA four-digit airfoil series optimization....
-
Enhancing bond performance in SRC structures: a computational approach using ensemble learning techniques and sequential analysis
Composite structures using Steel Reinforced Concrete (SRC) are increasingly being praised for outperforming standard steel or reinforced concrete...
-
Gradient Adjusting Networks for Domain Inversion
StyleGAN2 was demonstrated to be a powerful image generation engine that supports semantic editing. However, in order to manipulate a real-world...