4D bin packing / knapsack problem solver

knapsack-problem 开源项目推荐(716 个)
knapsack-problem 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 716 个仓库A consolidated collection of resources for you to learn and understand algorithms and data structures easily.
A solver for (geometrical) packing problems
Operations research tools for Ruby
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Aditya Verma (Youtube) DP Playlist Codes/Solutions.
Sharing my 30 days long journey 💜 of Dynamic Programming 💫 🔥 . This would not be possible without Aditya Verma's DP series 🙏 👇 👇
✔ My Solutions of (Algorithmic-Toolbox ) Assignments from Coursera ( University of California San Diego ) With "Go In Depth" Part Which Contains More Details With Each of The Course Topics
Humble 3D knapsack / bin packing solver
Exact solutions for two-dimensional bin packing problems by branch-and-cut
Genetic Algorithm for Knapsack Problem
Julia 和 Python 递归算法、分形几何以及动态规划应用,包括编辑距离、背包(多项选择)、股票交易、毕达哥拉斯树、科赫雪花、耶路撒冷十字、谢尔宾斯基地毯、希尔伯特曲线、帕斯卡三角形、素因式分解、回文、蛋落、硬币变换、河内塔、康托集、斐波那契
AST-Aware, Personalized-PageRank-Ranked, Token-Budgeted Codebase Compressor for LLMs
Evolutionary Algorithm for the 2D Packing Problem combined with the 0/1 Knapsack Problem (Master Thesis)
Algorithms for solving knapsack problems with Python
Material of the Computational Intelligence course which originated in University of Guilan. This is the repository of codes written in class.
This repo consists codes of Aditya Verma - Dynamic Programming Playlist
用于运筹学问题的Julia软件包
[AAAI-26] MPaGE: Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization
App for optimising pallets placement in containers using Python and VIKTOR.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/knapsack-problem。
- 该话题在 GitHub 上共有 716 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2949 Star,覆盖 9 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。