Combinatorial optimization layers for machine learning pipelines
- Updated
Nov 24, 2025 - Julia
Combinatorial optimization layers for machine learning pipelines
Generic tensor networks for solution space properties.
Tropical tensor network for spin glasses
Decision Diagrams for Discrete Optimization - Generic Julia Implementation
NLNS+VND Metaheuristic Algorithm for solving Combinatorial Optimization Problems
A Julia solver of Ring Star Problem variants
Application of InferOpt.jl to the Stochastic Vehicle Scheduling Problem
This repo is focused on solving the prize collecting travelling salesman problem with two constructive heuristics and a local search method.
Julia library for the Determinant-Optimality Problem (D-OPT)
Solving the most complex lock patterns with Julia Language, MiniZinc, and Google OR-Tools.
Exact, approximate, and heuristic algos for the college application problem.
Benchmarks to calculate edge density for k-critical digraphs (numeric v probabilstic)
Maximum Weight Two Stage Spanning Tree
A Julia-based simulator to expore the dynamics and optimization capabilities of coherent Ising machines (CIMs).
Some combinatorial optimization algorithms on graphs written in Julia.
Solving the influence maximization problem with independent cascade diffusion model.
Optimization of the lower bound for the paper "Clustering of solutions in the symmetric binary perceptron" Baldassi, Della Vecchia, Lucibello, Zecchina (https://arxiv.org/abs/1911.06756)
Exploring explores different ways of solving the combinatorial problem of choosing which time series sum together to give an overall time series of interest.
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