matlab快速非支配算法代码-Multiobjective_EGO_algorithms:标准和并行多目标EGO算法

上传者: 38550459 | 上传时间: 2021-06-22 16:36:54 | 文件大小: 52KB | 文件类型: ZIP
matlab快速非支配算法代码标准,约束和并行多目标EGO算法 1.无约束多目标EGO算法 使用EIM(预期改进矩阵)标准的无约束多目标EGO算法,与最新的多目标EI标准相比,评估起来便宜得多。 有关EIM标准的详细说明,请参阅[1]。 2.约束多目标EGO算法 使用CEIM(约束预期改进矩阵)准则的约束多目标EGO算法,可以解决昂贵的约束多目标问题。 3.并行多目标EGO算法 使用PEIM(伪期望改进矩阵)标准的并行多目标EGO算法,该算法能够在每个周期中选择多个候选对象以进行并行评估[2]。 4.并行约束多目标EGO算法 使用PCEIM(伪约束预期改进矩阵)标准的并行约束多目标EGO算法,该算法能够在每个周期中选择多个候选对象以进行并行评估[2]。 5.注意事项 dace工具箱[3]用于在实现中构建Kriging模型。 Yi Cao [4]的非支配排序方法用于从所有设计点识别非支配前沿。 超量指标是使用[5] Nicola Beume等人的更快算法来计算的。 (2009)。 EIM和PEIM标准都可以通过DE [6]算法最大化。 参考 D.Zhan,Y.Cheng,Liu J.Li

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