Abstract: Microgrids that incorporate renewable energy sources and energy storage systems are essential for enhancing energy sustainability and resilience. However, achieving optimal operation during ...
A dual artificial intelligence framework combines temporal transformers with dynamic spatial graphs to forecast cascading ...
Abstract: Deep brain stimulation (DBS) programming remains a complex and time-consuming process, requiring manual selection of stimulation parameters to achieve therapeutic effects while minimizing ...
The field of mixed integer programming addresses optimisation problems characterised by both continuous and discrete decision variables subject to linear constraints. Traditional exact methods, ...
Official implementation of the paper: "CONSTRAINT MATTERS: MULTI-MODAL REPRESENTATION FOR REDUCING MIXED-INTEGER LINEAR PROGRAMMING", accepted by ICLR 2026. Model reduction is a powerful way to ...
A reproducible mixed-integer programming study of a public logistics dataset found a modest 0.83 percent cost saving ...
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