Abstract: Parametric multiobjective optimization (PMO) addresses the challenge of solving an infinite number of multiobjective optimization problems (MOPs), where optimal solutions must adapt to ...

Operational data such as torque, vibration, and temperature are vital for refining machine design and predicting failure modes. Feedback from real-world machines reduces over-engineering, cuts costs, ...

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This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...

Researchers in the Middle East claim to have identified the optimal parameters for the commercial production of perovskite-silicon tandem solar modules across several locations. Their analysis showed ...

ABSTRACT: The Kelly strategy is renowned for its theoretically optimal long-term growth, however, its practical application in financial markets is constrained by several limitations, including ...

Abstract: DC-DC converters are important means of "one cluster, one management" for battery clusters in electrochemical energy storage systems. They have technical characteristics such as ...