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Accelerated high|dimensional global optimization


Accelerated high-dimensional global optimization: A particle swarm ...

This paper proposes the high-speed homogeneous learning-based particle swarm optimizer (HLPSO) to address these challenges.

Accelerated high-dimensional global optimization: A particle swarm ...

... high-dimensional global optimization. This paper proposes the high-speed homogeneous learning-based particle swarm optimizer (HLPSO) to address these challenges ...

Accelerated high-dimensional global optimization: : A particle swarm ...

... high-dimensional global optimization. This paper proposes the high-speed homogeneous learning-based particle swarm optimizer (HLPSO) to ...

A Particle Swarm Optimizer Incorporating Homogeneous Learning ...

Download Citation | On Aug 1, 2023, Wen-Yuan Fu published Accelerated High-Dimensional Global Optimization: A Particle Swarm Optimizer Incorporating ...

Accelerated high-dimensional global optimization: A particle swarm ...

Semantic Scholar extracted view of "Accelerated high-dimensional global optimization: A particle swarm optimizer incorporating homogeneous learning and ...

Accelerated high-dimensional global optimization: A particle swarm ...

Accelerated high-dimensional global optimization: A particle swarm optimizer incorporating homogeneous learning and autophagy mechanisms · List of references.

Efficient Global Optimization for high-dimensional constrained ... - HAL

Fig- ures 4e and 4f show rapid convergence of the SEGOKPLS+K algorithm for. 4 runs but 1 run met some difficulties, given by the green curve ...

Pairing a Global Optimization Algorithm with EXAFS to Accelerate ...

... high coordination numbers. To accelerate the characterization of lanthanide structures in solution, we employed the Northwest Potential ...

Global Optimization Algorithm through High-Resolution Sampling

... high-resolution differential equation known for its acceleration in deterministic settings. While the focus of the paper is primarily ...

Vanilla Bayesian Optimization Performs Great in High Dimensions

Title: Vanilla Bayesian Optimization Performs Great in High Dimensions Abstract: In Bayesian optimization (BO), complexity and ...

A Manifold‐Guided Gravitational Search Algorithm for High ...

Next, we provide an overview of meta-heuristic algorithms for high-dimensional global optimization problems (Section 2.2) and detail key steps ...

Super Gradient Descent: Global Optimization requires Global Gradient

We evaluate its performance on various one-dimensional functions, demonstrating that it provides superior convergence behavior, particularly in ...

High-efficacy global optimization of antenna structures by means of ...

Close-to-linear dependance of the feature points on geometry parameters leads to accelerated convergence of optimization algorithms, or reduced ...

Acceleration of Global Optimization Algorithm by Detecting Local ...

The article provides computational rules of the one-dimensional algorithm and the nested optimization scheme which could be applied for solving multidimensional ...

A Machine Learning-Genetic Algorithm (ML-GA) Approach for Rapid ...

Thereafter, a stochastic global optimization ... et al., "A Machine Learning-Genetic Algorithm (ML-GA) Approach for Rapid Optimization Using High- ...

Acceleration of Global Optimization Algorithm by Detecting Local ...

The article provides computational rules of the one-dimensional algorithm and the nested optimization scheme which could be applied for solving ...

Accelerated global optimization of metal cluster structures via the ...

The global optimization method based on deep neural network combined with transfer learning (DNN-TL) was developed to improve the efficiency of optimizing the ...

A dynamic aggregation strategy enhanced efficient global ...

Specifically, the Dynamic Aggregate Efficient Global Optimization (DA-EGO) algorithm decomposes the original high-dimensional design space into low-dimensional ...

Machine-learning driven global optimization of surface adsorbate ...

... high energy configurations at the expense of local and global minima. ... Crystal structure prediction accelerated by bayesian optimization.

An Adaptive Accelerated Proximal Gradient Method and its ...

An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization ... high-dimensional setting. Although such an ...