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global-optimization

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Showing 151–175 of 658 papers

TitleStatusHype
A New Optimization Approach Based on Rotational Mutation and Crossover Operator—0
A Generative Neural Annealer for Black-Box Combinatorial Optimization—0
Can Global Optimization Strategy Outperform Myopic Strategy for Bayesian Parameter Estimation?—0
CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection—0
A new approach for solving global optimization and engineering problems based on modified Sea Horse Optimizer—0
CACO : Competitive Ant Colony Optimization, A Nature-Inspired Metaheuristic For Large-Scale Global Optimization—0
Certifiably Optimal Anisotropic Rotation Averaging—0
Chunk-based Chinese Spelling Check with Global Optimization—0
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes—0
CLIPtortionist: Zero-shot Text-driven Deformation for Manufactured 3D Shapes—0
Clustering by transitive propagation—0
Fourier Transform Approach to Machine Learning II: Fourier Clustering—0
A New Approach for Finding the Global Optimal Point Using Subdividing Labeling Method (SLM)—0
A General Stochastic Algorithmic Framework for Minimizing Expensive Black Box Objective Functions Based on Surrogate Models and Sensitivity Analysis—0
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes—0
Combinatorial Optimization via LLM-driven Iterated Fine-tuning—0
Combining Bayesian Optimization and Lipschitz Optimization—0
Comparative analysis of machine learning methods for active flow control—0
Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting—0
Adaptive Expansion Bayesian Optimization for Unbounded Global Optimization—0
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization—0
Computational and Exploratory Landscape Analysis of the GKLS Generator—0
Computational Fluid Dynamics and Machine Learning as tools for Optimization of Micromixers geometry—0
Practical Bayesian Optimization of Objectives with Conditioning Variables—0
BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML—0
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