Abstract: Interaction design typically involves challenging decision making that requires designers to consider multiple parameters and careful tradeoffs between various objectives. This article ...

Abstract: Radial magnetic bearings (RMBs) are critical supporting components in high-performance rotating machinery, yet their design is constrained by an inherent, non-linear trade-off between load ...

With the high penetration of renewable energy, electricity spot market prices exhibit significant temporal volatility, exposing photovoltaic (PV) power plants to the risk of “price cannibalization” ...

Here, we benchmark five global optimization methods for three typical nano-optical optimization problems: particle swarm optimization, differential evolution, and Bayesian optimization as well as ...

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CATO leverages recent advances in multi-objective Bayesian optimization to efficiently identify Pareto-optimal configurations, and automatically compiles end-to-end optimized serving pipelines that ...

A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...