There are 0 repository under large-scale-optimization topic.
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
Code and computational experiments of the paper "Benders Adaptive-Cuts Method for Two-Stage Stochastic Programs" by Cristian Ramírez-Pico, Ivana Ljubić and Eduardo Moreno. arXiv:2203.00752
Build content-based image retrieval system using deep learning, applied some large scale similarity search technicals like Kdtree, LSH, Faiss.
Low Dimensional Radiotherapy [PMB'23]
Distributed Low-Memory Matrix Adaptation (D-LM-MA) Evolution Strategy.
Network-wide estimation of traffic flow and travel time with data-driven macroscopic models
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
Python implementation of a Genetic Algorithm to solve large scale binary knapsack problem