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Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

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Abstract: Many-objective evolutionary algorithms (MaOEAs) often suffer a loss of selection pressure, hindering efficient exploration of Pareto-optimal regions. To address this problem, this paper ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Abstract: Increase in global digitization, increases the demand for data centers and to provide a flexible and reliable service to end users its continuous operation is utmost priority. The continuous ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...