Abstract: Simulation optimization is a rapidly growing research field, fueled by advances in computational technology. These advances have made it possible to solve complex stochastic optimization ...
AI bias propagation spreads across data, models, and APIs. Learn how enterprises use fairness-aware machine learning and ...
The Jazz were fined after sitting several stars through the fourth quarter in two close games. If they win the lottery, the price will have been well worth it. You don’t have to be an expert in ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning in Qujing ...
Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...
Abstract: Multiobjective combinatorial optimization (MOCO) problems have a wide range of applications in the real world. Recently, learning-based methods have achieved good results in solving MOCO ...
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