[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control 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

Rapid Optimization Library

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.

A First-Order LP Solver Accelerated on Multiple GPUs

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 deep reinforcement learning system for optimizing bridge maintenance decisions across municipal infrastructure fleets, implementing cross-subsidy budget sharing and cooperative multi-agent learning.

A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).

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

Deep Q-Network (DQN) implementation for optimal maintenance planning of 100-bridge fleet infrastructure using advanced reinforcement learning techniques and vectorized parallel training.

A GPU-Accelerated First Order Solver for Convex Quadratic Programming

Deep Q-Network implementation for optimal bridge maintenance planning using Markov Decision Process formulation with vectorized parallel training. Based on Phase 3 (Vectorized DQN) from dql-maintenance-faster project.

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

A flexible framework for SD-like algorithms in Julia.