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01.01.2025Область исследования
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In this study, we explore the applicability of computational intelligence approaches i. e., genetic algorithms (GA) to enhance material performance. Central to these methodologies is processes optimization and data-driven models development. In particular, our work gives a detailed overview of the state-of-the-art of materials development through innovative usage of computational intelligence (CI) methods to help them in materials innovation and exploration. In particular, the approach of the study provides a data-driven guide toward desirable properties for AZ61 magnesium alloy. A metaheuristics optimization tool, GA, is used with linear regression to estimate the optimal rolling process parameters.DOI
10.4018/979-8-3373-0583-7.ch006Тип публикаций
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Scopus