# data **Repository Path**: XZDNF-1618/data ## Basic Information - **Project Name**: data - **Description**: CVRP+MDCVRP+MDCVRPTW的数据文件合集 - **Primary Language**: Python - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 13 - **Forks**: 3 - **Created**: 2021-11-14 - **Last Updated**: 2025-07-08 ## Categories & Tags **Categories**: Uncategorized **Tags**: VRP, FJSP, 调度问题, CVRP, VRPTW ## README # data #### 介绍 CVRP+MDCVRP+MDCVRPTW的数据文件合集 车间调度问题数据集MK01.txt #### 使用说明 1. 本公众号所有数据文件都在这个仓库； 2. 把算法源码放进对应数据集文件夹里，才可以运行出来； 3. 持续更新VRP和FJSP，路径优化和车间调度方向问题文章，敬请关注微信公众号：学长带你飞； 4. 本公众号均使用python语言书写算法代码，0基础有资料可以学习； 5. 适合人群：研究调度问题，工业工程专业方向的同学。 # VRP问题合集 #### 介绍 公布公众号{学长带你飞}，完整代码见微信公众号：学长带你飞 #### 路径优化系列文章 ![](https://gitee.com/XZDNF-1618/picture/raw/master/2022-3-11/1646983067392-0.png) - 1、[路径优化历史文章](https://mp.weixin.qq.com/mp/appmsgalbum?__biz=MzU2Mzc3NzE2OA==&action=getalbum&album_id=1336927899030732802#wechat_redirect) - 2、[路径优化丨带时间窗和载重约束的CVRPTW问题-改进遗传算法：算例RC108](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487059&idx=1&sn=f8c69a8abe5947b2058b943284ffd1c2&chksm=fc5455accb23dcba74a4ff34cbebcb703d68f9621bcc4011b68861a090ef3715c9b2e77201c2#rd) - 3、[路径优化丨带时间窗和载重约束的CVRPTW问题-改进和声搜索算法：算例RC108](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487154&idx=1&sn=7864d00a3d1ec99470419479ef3d3c32&chksm=fc54554dcb23dc5ba50ea8145ae1ad07e63961888f82e84d7debf90137ef91d6e82eaf1ec088#rd) - 4、[路径优化丨复现论文-网约拼车出行的乘客车辆匹配及路径优化](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487438&idx=1&sn=2507f31a02e33526e3e3266927376b7d&chksm=fc545431cb23dd27307a36cc419eead7389bf8484ea2b6725f6a8fe934d513a86f6d3f00ee2a#rd) - 5、[多车场路径优化丨遗传算法求解MDCVRP问题](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487614&idx=1&sn=bce36eec292bb7b92cf25fe0e9d2d5f7&chksm=fc544b81cb23c29774158c1b16158ca4ca13e240a7897fc66d210654419867a493e8343ecf26#rd) - 6、[论文复现详解丨多车场路径优化问题:粒子群+模拟退火算法求解](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487640&idx=1&sn=38d70c7430535f4a38fd584e410b317a&chksm=fc544b67cb23c271e590e6476834d3763a3880e16d51f95aece83aaa32226ce8a555041f7d6e#rd) - 7、[路径优化丨复现论文外卖路径优化GA求解VRPTW](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487720&idx=1&sn=5797d17734817f382df95912cceefa89&chksm=fc544b17cb23c201279689e012fdf884818a4d767934314abfb58c743c53efe256040dcf0c2b#rd) - 8、[多车场路径优化丨蚁群算法求解MDCVRP问题](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487768&idx=1&sn=9474ecc456d189632929fe174a553972&chksm=fc544ae7cb23c3f154f069cf9884102b178a81da842cc5e19f5296b2f1b28dfa32608ac3953c#rd) - 9、[路径优化丨复现论文多车场带货物权重车辆路径问题：改进邻域搜索算法](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247488096&idx=1&sn=f9e3edc3f58b56020c2b2b299b26ebab&chksm=fc54499fcb23c08956eab15eee05feaf85ad5dd67f9ab167e4c3b5957294e3277daecdbec2ea#rd) - 10、[多车场多车型路径问题求解复现丨改进猫群算法求解](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247488159&idx=1&sn=4e081020cff1b5f48370b8e3b84d8c9c&chksm=fc544960cb23c0764ed8674c19b9c01370847b144abb5eec8556ad15e7b387d510271ad39943#rd) - 11、[带时间窗车辆路径问题论文复现：改进粒子群算法求解](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247488218&idx=1&sn=c4f1c36ed3bfc81ee038a8967ac443cb&chksm=fc544925cb23c0334c23f2b139b78e755f42faf98f4f1d56f8d380bbcf15deac40a89bd9018b#rd) - 12、[物流中心选址问题论文复现丨改进蜘蛛猴算法求解](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247488393&idx=1&sn=815813f16894f07d79017b0785ed65a2&chksm=fc544876cb23c16073fb1e184f8a2a2559fcea220dd7ed08719cbc8893c8b46545c43ad16840#rd) - 13、[复现丨带时间窗和服务顺序的多车辆路径问题:联合优化遗传算法](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247488421&idx=1&sn=3828075775eee51d9fb468c47113ed10&chksm=fc54485acb23c14c041b705c4b4c2d0547f8fb260da2e867ec124751444ddd5ce49e87c49818#rd) ![](https://gitee.com/XZDNF-1618/picture/raw/master/2022-2-8/1644311565434-0.jpg) #### 车见调度系列文章 - 1、[车间调度的编码、解码，调度方案可视化的探讨](https://mp.weixin.qq.com/s/B2CbOrlmF2KyqQnDzL2LLg) - 2、[多目标优化:浅谈pareto寻优和非支配排序遗传算法-NSGAII的非支配排序及拥挤度](https://mp.weixin.qq.com/s/EJ7ucgUgfEwW9VAS_0r7XA) - 3、[柔性车间调度问题:以算例MK01初探数据处理和多个遗传算子](https://mp.weixin.qq.com/s/o3aoLqKxy4rzxrO7WydiOw) - 4、[车间调度丨粒子群算法初探:以算例MK01为例](http://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247486225&idx=1&sn=04000c377d86e293c4f0f7b529af22cd&chksm=fc5450eecb23d9f80acd712f5cf7d4b1908bc3187b54c402918a87f9e02e0c46edd5e5882cdf#rd) - 5、[车间调度丨布谷鸟算法改进:以算例MK01为例](https://mp.weixin.qq.com/s/zWbirLtMRek2SBkn6TK6Zw) - 6、[车间调度丨自适应灰狼算法改进：以算例MK01为例](http://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247486318&idx=1&sn=1a229ea0ac6d9ce33c038ee325939135&chksm=fc545091cb23d987490da7d88a31574286c746ff808bcbc0bfedbf07a9ad0fc18aa725aabcad#rd) - 7、[车间调度丨模拟退火算法改进：以算例MK01为例](http://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247486375&idx=1&sn=6eacc6985ee0743273e1d2346eb12e74&chksm=fc545058cb23d94e6a8ab2a872eec321376f4d48b4f08ea2f31fe9d01d87a896db21e903c646#rd) - 8、[车间调度入门系列资料](http://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247486448&idx=1&sn=a78710fedef650600206e053169a0f48&chksm=fc54500fcb23d9198a7ed5b6ce2ce91d6c6e237b738b363d498982bf863a6153b4dba3808a0b#rd) - 9、[多目标柔性车间调度丨改进灰狼算法:以算例MK01为例](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247486470&idx=1&sn=df725669f7eca4bbd047075d2b698707&chksm=fc5457f9cb23deef4e747d79bb3dd5b7744452d7e43bcd85409f1f2f5e82d7e4031292fb0af6#rd) - 10、[多目标柔性车间调度丨NSGA-II:以算例MK01为例](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247486542&idx=1&sn=937c1c9eccc5495b313e12e74df8fd90&chksm=fc5457b1cb23dea7f4ca5ef3e60b8b0583db1ea0b2562733c27ff27697085a174670b006ce7d#rd) - 11、[书本算法重现丨遗传算法：以MK01为例](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247486678&idx=1&sn=3c8feaf3a5ea5d5b6d06f0e341bf0c66&chksm=fc545729cb23de3f41429e7e2b483b374602ab876f3f39f834cf12dd32064d7aeb4afced8308#rd) - 12、[书本算法重现丨元胞粒子群算法：以MK01为例](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247486722&idx=1&sn=5805ccc7533dd2fcb58e28b1fa0c7117&chksm=fc5456fdcb23dfeb90ca5d8d5a44ad8adc0ee837916532f7eb6a0b2684e68a3a3274ccf133f8#rd) - 13、[车间调度丨遗传算法求解动态调度问题：重调度](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247486794&idx=1&sn=00a9a980f0cf0bb6bf8715e932bf640d&chksm=fc5456b5cb23dfa35e5c977a64ba82002fae83749d0c5ce170250be59cd1f58a9d5912fcfbe0#rd) - 14、[柔性车间调度问题丨一种贪婪策略的应用:以算例MK02例](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247486915&idx=1&sn=429a512ad37cf3aee9d46908fcce400d&chksm=fc54563ccb23df2add70221abd4f32638a6ce7f13f98da404f250d0ad1265997e9a6570c5510#rd) - 15、[柔性车间调度问题丨教学优化算法和均匀交叉算子:以算例MK01例](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487006&idx=1&sn=266d2dbc14f5eb791fa0b4dedcc06957&chksm=fc5455e1cb23dcf7a8bf4068406d430981c0c31993d7e87ea9331075f2dbd5e5fecfcadd88fd#rd) - 16、[多目标柔性车间调度丨mogv算法:以算例MK01为例](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487182&idx=1&sn=e3b29a67015a1aa19f8da4d0ec60c582&chksm=fc545531cb23dc27cc8665349188eacf9d66b1659c74f53180ea677a930a559308a5c2195d47#rd) - 17、[柔性车间调度丨复现改进人工蜂群算法论文](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487395&idx=1&sn=7789d2412ae117b01ccd75c8acfda858&chksm=fc54545ccb23dd4a42b650b670373dd0c76f5e274aad42ea4a6778288ea50becb75759724f20#rd) - 18、[书本算法重现丨单目标遗传算法（GA3):以算例MK01为例](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487423&idx=1&sn=1889aa28334862541fced7e59e0e80eb&chksm=fc545440cb23dd562abf93bee744cc3ec86fbbe1c2c45b36831f7f42f0989d1abe412d4af61c#rd) - 19、[多目标柔性车间调度丨改进灰狼算法:以算例MK01为例](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487466&idx=1&sn=3660fefa53b6cf8444477a2b2132fa90&chksm=fc545415cb23dd0320207eae24fffcb787b8d3a91d8382f7262846b094c4c7dea57f96f7cdb7#rd) - 20、[多目标柔性车间调度丨NSGA3:以算例MK01为例](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487501&idx=1&sn=3e736fdc5a09ab76cae85b1b05d025dd&chksm=fc544bf2cb23c2e45d59652a8f2eb36e9bfa3bcc3b4232a390dd9b911205bdb268bbe8157d76#rd) - 21、[柔性车间调度丨模拟退火算法研究:以算例MK01为例](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487558&idx=1&sn=7f776303c5e2c017c0f7ce138d98c802&chksm=fc544bb9cb23c2af72e1fcb17345b074bf9b160515cdf0c7efee179f650bd3e345f1d4d788a0#rd) - 22、[论文复现丨改进蚁群算法求解柔性车间调度问题：以MK01为例](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487679&idx=1&sn=f7dbb97de5207482432734a26b54aa7e&chksm=fc544b40cb23c256c28e6a6fd4f26033feeaaf74b4e8ed2aa358e1b025472c218570252c6cd2#rd) - 23、[柔性车间调度丨论文复现：改进遗传算法求解带agv的柔性车间](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487798&idx=1&sn=b114772f52ea087376db86391c24a818&chksm=fc544ac9cb23c3dfde1523b571e5d7211e6b4f74214e59dab9c530ba1f9edff8b1e38b43f82d#rd) - 24、[柔性车间调度丨论文复现：强化学习算法求解柔性车间问题](https://mp.weixin.qq.com/s?__biz=MzU2Mzc3NzE2OA==&mid=2247487992&idx=1&sn=f9460402584fc5fc6a4f56ecb0c4433d&chksm=fc544a07cb23c31119a8a20d2d2c72be834d40eb2cbdde125e7e4ed98b71f548d14fa6df2245#rd) 完整算法源码+数据：见下方微信公众号：关注后回复：调度 ![](https://files.mdnice.com/user/11789/ffc93a7a-2b7d-40e7-9fba-23b4883715bd.png) ``` # 微信公众号：学长带你飞 # 主要更新方向：1、柔性车间调度问题求解算法 # 2、学术写作技巧 # 3、读书感悟 # @Author : Jack Hao