GitHub

Bayesian-Informed Optimization (BIO) Framework

A modular framework for closed-loop optimization of battery charging protocols using Bayesian learning, early prediction, and automated experiment generation. Designed to accelerate materials ...
IEEE

The Initialization Effect: Refining Bayesian Optimization for Circuit Design

Abstract: Bayesian optimization (BO) has emerged as a powerful sample efficient technique for optimizing expensive and time-consuming design of analog circuits. The BO framework leverages ...
IEEE

Albert Gassol Puigjaner

Bayesian Optimization,Confidence Level,Constrained Optimization,Constraint Satisfaction,Constraint Violation,Continuous Domain,Cost Function,Discrete Domain,Expansion ...
C&EN

Autonomous Discovery of Polymer Electrolyte Formulations with Warm-Start Batch Bayesian ...

Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States Department of Mechanical Engineering, Massachusetts Institute of ...
GitHub

Python Maze Solver using A* Algorithm with Movement Constraints

A Python script with an AI algorithm that solves a 2D maze using the A* search algorithm - but, with specific movement constraints, to really force the AI earn its way out of the maze. This time, ...
腾讯网

Optuna v4.5新特性深度解析：GPSampler实现约束多目标优化

Optuna v4.5的GPSampler约束多目标优化功能确实是个不错的更新。C2-DTLZ2基准测试证明了几点：减少了不可行区域的无效评估，可行超体积收敛比TPESampler和NSGAIISampler都快。