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global-optimization

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TitleStatusHype
Approximation of the objective insensitivity regions using Hierarchic Memetic Strategy coupled with Covariance Matrix Adaptation Evolutionary Strategy—0
A Simple Novel Global Optimization Algorithm and Its Performance on Some Benchmark Functions—0
A Social Spider Algorithm for Global Optimization—0
A Deterministic Global Optimization Method for Variational Inference—0
AiAds: Automated and Intelligent Advertising System for Sponsored Search—0
A Step-by-Step Guide to Using BioNetFit—0
A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems—0
A Surrogate-Assisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems—0
Atomistic structure search using local surrogate mode—0
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data—0
A unified surrogate-based scheme for black-box and preference-based optimization—0
A differential evolution-based optimization tool for interplanetary transfer trajectory design—0
Approximation of optimization problems with constraints through kernel Sum-Of-Squares—0
A Branch and Bound method for the exact parameter identification of the PK/PD model for anesthetic drugs—0
A Physics-Driven AI Approach for Microwave Imaging of Breast Tumors—0
A global optimization SAR image segmentation model can be easily transformed to a general ROF denoising model—0
Bayesian Multi-Scale Optimistic Optimization—0
Automating Bayesian optimization with Bayesian optimization—0
AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure—0
Avoiding Redundant Restarts in Multimodal Global Optimization—0
Bandit Algorithms for Tree Search—0
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization—0
A Performance Analysis of Basin Hopping Compared to Established Metaheuristics for Global Optimization—0
Batch Reinforcement Learning Through Continuation Method—0
A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement—0
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