Platform-independent solution for effectively managing 3-axis CNC workflows.
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Updated
Jul 11, 2024 - Python
Platform-independent solution for effectively managing 3-axis CNC workflows.
Large Language Models as Hyper-Heuristics for Combinatorial Optimization (CO)
Harness the power of Evolutionary Algorithms to optimize bin packing. Experiment with crossover strategies, mutation techniques, and population sizes to achieve efficient item allocation in bins.
🪚 Panel cutting optimization software running in your browser
Implementation of next fit, first fit, best fit, first fit decreasing, and best fit decreasing bin packing algorithms followed by time and space complexity analysis.
Unofficial implementation of DeepPack in PyTorch. DeepPack is a deep reinforcement learning based algorithm dealing with 2D online bin packing problem.
Compact Models for the Temporal Bin Packing Problem with Fire-Ups (V3)
Compact Models for the Temporal Bin Packing Problem with Fire-Ups
This is a MATLAB project (developed in 2012) that solves 'Bin Packing' classic problem using evolutionary algorithms.
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Geometric Deep Learning Models for Vehicle Routing Problem
Marble plate slicing algorithm that optimizes profit and reduces waste. First project for Analysis and Synthesis of Algorithms class.
bin packing problem best fit and metaheuristics. genetic algorithm, bonus particle swarm optimization. comparing both algorithms
This package contains a PHP implementation to solve 3D bin packing problems.
3D bin packing software
Implementation and evaluation of the Ant Colony Optimization algorithm on the bin-packing problem
This repo share our packing tools to provide research convenience for beginners, which includes packing shape processing, rendering tools, and simulation scenarios.
Java Version of a Bin Packer Algorithm to fit many blocks. Handles one or more bins.
Genetic Algorithms, Bin-Packing, Knapsack problems. A mix of stochastic algorithms, combinatorics
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