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approach makes it easier to identify different local optima using sampling mechanisms. In stochastic optimization, distribution estimation algorithms (EDA) are an alternative approach to traditional
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interfaces adapted to the different profiles of field operators. Integration of visualization, data sharing, and expertise feedback features. Creation of a digital twin. Testing, validation, and continuous
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