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Multi-objective optimization and its application in materials science 被引量:9
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作者 bofeng shi Turab Lookman Dezhen Xue 《Materials Genome Engineering Advances》 2023年第2期60-76,共17页
Optimizing more than one property is inevitable in designing new materials;however,some properties are usually improved at the expense of others.Multiobjective optimization methods in engineering and computer science ... Optimizing more than one property is inevitable in designing new materials;however,some properties are usually improved at the expense of others.Multiobjective optimization methods in engineering and computer science have proven to be an effective means to optimize several different properties simultaneously.Here,we reviewed these approaches including scalarization,evolutionary algorithms,and especially Bayesian optimization.Their promising applications to a number of materials problems are also discussed in the paper. 展开更多
关键词 Bayesian optimization evolutionary algorithms materials design multi-objective optimization Pareto methods
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