[***JMLR-2024***] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* versions/variants (e.g., evolutionary algorithms, swarm-based optimizers, pattern search, and random search, etc.). [Citation: https://jmlr.org/papers/v25/23-0386.html (***CCF-A***)]

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, 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.

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).

Operations research projects will be added in this repo

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

A flexible framework for SD-like algorithms in Julia.