[JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, etc.). [https://jmlr.org/papers/v25/23-0386.html]

Solver for Large-Scale Rank-One Semidefinite Relaxations

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

Compressed Radiation Treatment Planning [NeurIPS'24, MP'2025, PMB'23]

Build content-based image retrieval system using deep learning, applied some large scale similarity search technicals like Kdtree, LSH, Faiss.

Network-wide estimation of traffic flow and travel time with data-driven macroscopic models

Distributed Low-Memory Matrix Adaptation (D-LM-MA) Evolution Strategy.

This repository provides practical implementations, examples, and insights into various optimization methods, making it easier to understand and apply these concepts.

Operations research projects will be added in this repo

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).

A flexible framework for SD-like algorithms in Julia.

Python implementation of a Genetic Algorithm to solve large scale binary knapsack problem