A research toolkit for particle swarm optimization in Python

🎯 A comprehensive gradient-free optimization framework written in Python

An easy-to-use Python framework to generate adversarial jailbreak prompts.

Hybrid Models for Learning to Branch (NeurIPS 2020)

My solutions for discrete optimization course on Coursera

Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.

Discrete optimisation in the tensor-network (specifically, MPS-MPO) language.

Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.

Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)

A Greedy Randomized Adaptive Search Procedure (GRASP) for the Traveling Salesman Problem (TSP)

Python implementation of Mercer Features for Efficient Combinatorial Bayesian Optimization

Meta-Heuristic Algorithm for Travelling Salesman Problem

Quick try-out of (mostly Python) discrete optimization packages

Create pure Minizinc .mzn files from Python using python-minizinc-maker library.

Solver for the minimum dominating set problem with group constraints

cousera: discrete optimization, Cplex, Python, heuristic algorithm, mixed integer programming

Solution for the set-cover assignments of the Coursera course "Discrete Optimization"

Discrete PSO is a variant of the Particle Swarm Optimization (PSO) algorithm that is designed for discrete optimization problems

Discrete Optimization - Coursera