Frontiers

Multi-objective Forest Management under Global Change: Forest Ecosystem Response Mechanisms and Resource Utilization

Against the backdrop of global change—characterized by climate warming, shifting precipitation patterns, and intensified anthropogenic disturbances—the ...

Multi-Location SEO: How To Win Google & AI Search Visibility At Scale

Multi-location brands must adapt to fragmented search visibility across Google, Maps, AI assistants, and social platforms.
IEEE

Pymoo: Multi-Objective Optimization in Python

Abstract: Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part ...
GitHub

An Easy-to-use Real-world Multi-objective Optimization Problem Suite

This repository provides the Java (jMetal 4.5), C, Matlab/Octave, and Python implementations of the (at least not synthetic) real-world (RE) problems presented in the following paper: Ryoji Tanabe and ...
GitHub

Bayesian Optimization for Unity

This Unity asset provides an end-to-end, Human-in-the-Loop (HITL) Bayesian Optimization workflow (single- and multi-objective) built on botorch.org. It lets you declare design parameters and ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Frontiers

Designing a TPMS metamaterial via deep learning and topology optimization

Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses ...