[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

A solver for (geometrical) packing problems

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

Exact solutions for two-dimensional bin packing problems by branch-and-cut

A powerful bin packing problem solver for any polygons

This repo share our packing tools to provide research convenience for beginners, which includes packing shape processing, rendering tools, and simulation scenarios.

[AAAI-25] HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs

This package contains a PHP implementation to solve 3D bin packing problems.

Geometric Deep Learning Models for Vehicle Routing Problem

A new algorithm for the 3-Dimensional Case Picking Problem. A newly considered problem of operational research that combines the well-known case picking problem with the positioning of 3-dimensional items inside pallets (i.e., Pallet Loading Problem).

Optimization Problems Toolbox

Java Version of a Bin Packer Algorithm to fit many blocks. Handles one or more bins.

Nested branch-and-bound algorithm to solve two-dimensional orthogonal packing problems

Visualization of the algorithms needed to solve three-dimensional knapsack problems.

C++ implementation of heuristics for solving the bin-packing problem

Unofficial implementation of DeepPack in PyTorch. DeepPack is a deep reinforcement learning based algorithm dealing with 2D online bin packing problem.

bin packing problem best fit and metaheuristics. genetic algorithm, bonus particle swarm optimization. comparing both algorithms

🪚 Panel cutting optimization software running in your browser

Optimizing the bin packing problem, aiming to efficiently allocate items of varying sizes into a finite number of bins while maximizing total profit, using optimization algorithms

C++ single header dynamic rect bin pack library with Deallocaton support.