标准、并行、约束和多目标 EGO 算法(matlab)(代码)

上传者: wq6qeg88 | 上传时间: 2022-05-11 09:04:43 | 文件大小: 44KB | 文件类型: ZIP
标准、并行、约束和多目标 EGO 算法(matlab)(代码) 标准EGO算法(EGO_EI.m)1.对于克里金建模,高斯相关函数用作相关函数,常数均值用作趋势函数。我在《通过代理建模进行工程设计:克里金模型实用指南 2》一书中引用了一些代码。MATLAB fmincon函数用于在训练 Kriging 模型时最大化likehihood 函数以获得估计的超参数。通过实数编码遗传算法3最大化预期的改进函数。 并行高效全局优化算法 约束高效全局优化算法 多目标高效全局优化算法

文件下载

资源详情

[{"title":"( 35 个子文件 44KB ) 标准、并行、约束和多目标 EGO 算法(matlab)(代码)","children":[{"title":"Efficient_Global_Optimization_Algorithms-main","children":[{"title":"Paretoset.m <span style='color:#111;'> 1.37KB </span>","children":null,"spread":false},{"title":"EGO_EIM_Euclidean.m <span style='color:#111;'> 2.50KB </span>","children":null,"spread":false},{"title":"EGO_CL.m <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false},{"title":"UniformPoint.m <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false},{"title":"Infill_Pseudo_PoF.m <span style='color:#111;'> 987B </span>","children":null,"spread":false},{"title":"EGO_Constrained_EI.m <span style='color:#111;'> 3.29KB </span>","children":null,"spread":false},{"title":"Kriging_Predictor.m <span style='color:#111;'> 1011B </span>","children":null,"spread":false},{"title":"Infill_Pseudo_CEI.m <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"ParEGO.m <span style='color:#111;'> 2.52KB </span>","children":null,"spread":false},{"title":"EGO_qEI.m <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false},{"title":"Infill_qEI.m <span style='color:#111;'> 10.96KB </span>","children":null,"spread":false},{"title":"EGO_EI.m <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"Fun_DTLZ2.m <span style='color:#111;'> 299B </span>","children":null,"spread":false},{"title":"Infill_EIM_Hypervolume.m <span style='color:#111;'> 672B </span>","children":null,"spread":false},{"title":"EGO_EIM_Hypervolume.m <span style='color:#111;'> 2.51KB </span>","children":null,"spread":false},{"title":"EGO_Pseudo_Constrained_EI.m <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false},{"title":"Hypervolume.mexw64 <span style='color:#111;'> 26.00KB </span>","children":null,"spread":false},{"title":"EGO_Pseudo_EI.m <span style='color:#111;'> 2.14KB </span>","children":null,"spread":false},{"title":"EGO_EIM_Maximin.m <span style='color:#111;'> 2.50KB </span>","children":null,"spread":false},{"title":"Fun_Rosenbrock.m <span style='color:#111;'> 154B </span>","children":null,"spread":false},{"title":"Optimizer_GA.m <span style='color:#111;'> 2.93KB </span>","children":null,"spread":false},{"title":"Infill_PoF.m <span style='color:#111;'> 354B </span>","children":null,"spread":false},{"title":"Infill_CEI.m <span style='color:#111;'> 553B </span>","children":null,"spread":false},{"title":"Infill_EI.m <span style='color:#111;'> 270B </span>","children":null,"spread":false},{"title":"Fun_Welded_Beam.m <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"Infill_EIM_Euclidean.m <span style='color:#111;'> 594B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 4.19KB </span>","children":null,"spread":false},{"title":"Infill_Pseudo_EI.m <span style='color:#111;'> 906B </span>","children":null,"spread":false},{"title":"EGO_FqEI.m <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false},{"title":".gitattributes <span style='color:#111;'> 66B </span>","children":null,"spread":false},{"title":"Kriging_Train.m <span style='color:#111;'> 1.87KB </span>","children":null,"spread":false},{"title":"Infill_qEI_MC.m <span style='color:#111;'> 276B </span>","children":null,"spread":false},{"title":"Infill_FqEI.m <span style='color:#111;'> 531B </span>","children":null,"spread":false},{"title":"Infill_EIM_Maximin.m <span style='color:#111;'> 584B </span>","children":null,"spread":false},{"title":"EGO_KB.m <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明