GitHub

LEAP: Evolutionary Algorithms in Python

LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.
IEEE

Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods

Abstract: Isosurface visualization is fundamental for exploring and analyzing 3D volumetric data. Marching cubes (MC) algorithms with linear interpolation are commonly used for isosurface extraction ...
IEEE

Iterative Space-Cutting Fast Marching Tree Algorithm for Obstacle-Aware Path Planning in Focused Ultrasound Robotic Systems

Abstract: Magnetic Resonance Imaging-guided High Intensity Focused Ultrasound (MRI-HIFU) requires precise acoustic path planning to ensure safety. This study proposes an Iterative Space ...
GitHub

LLM4AD: Large Language Model for Algorithm Design

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...