Optimization of well placement for geological sequestration of carbon dioxide using adaptive evolutionary Monte Carlo algorithm
نویسندگان
چکیده
منابع مشابه
Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems
In this paper, we present an adaptive evolutionary Monte Carlo algorithm (AEMC), which combines a treebased predictive model with an evolutionary Monte Carlo sampling procedure for the purpose of global optimization. Our development is motivated by sensor placement applications in engineering, which requires optimizing certain complicated “black-box” objective function. The proposed method is a...
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ژورنال
عنوان ژورنال: Energy Procedia
سال: 2011
ISSN: 1876-6102
DOI: 10.1016/j.egypro.2011.02.377