Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
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 ...
In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...
The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...
Abstract: An increasing number of machine learning algorithms are being applied to multi-objective optimization problems (MOPs), yielding promising results. However, many of these algorithms suffer ...