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5. Multi-Objective Adaptive Surrogate Modeling-Based Optimization for Parameter Estimation of Large Com

Multi-Objective Adaptive Surrogate Modeling-Based Optimization for Parameter Estimation of Large Com

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户：sss03157017633

【摘 要】

：

　　Geophysical models usually simulate many processes,and require a multi-objective optimization(MOO)approach to parameter estimation.MOO algorithms usually re

【作 者】

：

WeiGong;DuanQingyun;WangChen; 

【机 构】

：

Beijing Normal Univ.

【出 处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年期

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论文部分内容阅读

　　Geophysical models usually simulate many processes,and require a multi-objective optimization(MOO)approach to parameter estimation.MOO algorithms usually require a large number of model runs and can be computationally prohibitive for large complex models.

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