Brown University

Faster topology optimization: An emerging industrial design technique gets a speed boost

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...
GitHub

Multi-Factorial Evolutionary Algorithm With Online Transfer Parameter Estimation (MFEA-II) in Python

This repository implement MFEA-II MFEA-II Official Matlab Version. Tested on MTSOO benchmark. This repo could be used as a template or starter code for conducting multitasking optimization on other ...
Scientific Research Publishing

A Review of Intelligent Optimization Algorithms in Supply Chain Networks ()

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...
IEEE

Optimization of GeoJSON Data in Python for Enhancing Precision Fertilization in Oil Palm Plantations Using on-Board Computer Units

Abstract: This study focuses on optimizing GeoJSON data processing techniques in the Python environment to improve the performance of the On-board Computer Unit system (OBC) function used in precision ...
Frontiers

An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer

1 Department of Information Technology, Thakur College Engineering and Technology, Mumbai, India 2 Department of Civil Engineering, Thakur College Engineering and Technology, Mumbai, India This ...
GitHub

warehouse-optimization

AI-Enhanced Supply Chain Optimization (AIESCO) is an AI-based algorithm designed to optimize supply chain operations and logistics. LogiTrack is a Python & Streamlit-powered inventory management ...
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 ...