Multi-objective optimization of PEM fuel cell by coupled significant variables recognition, surrogate models and a multi-objective genetic algorithm
出版年份 2021 全文链接
标题
Multi-objective optimization of PEM fuel cell by coupled significant variables recognition, surrogate models and a multi-objective genetic algorithm
作者
关键词
Proton exchange membrane fuel cell (PEMFC), Multi-objective optimization, Significant variables recognition, NSGA-II, Ensemble learning model
出版物
ENERGY CONVERSION AND MANAGEMENT
Volume 236, Issue -, Pages 114063
出版商
Elsevier BV
发表日期
2021-03-25
DOI
10.1016/j.enconman.2021.114063
参考文献
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