Author

Shaked Regev

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Open access 2026

Learning-Based Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO)

Traffic digital twins provide realistic system-level testbeds for intelligent transportation system applications. Their value depends on how well they reproduce observed traffic conditions, making calibration against data essential. In practice, traffic digital-twin calibration is a black-box optimization problem in wh...

Abhilasha J. Saroj, Shaked Regev, Guan-Hao Xu et al. · IEEE Access · 0 citations

Preprint Sep 2026

Two-Stage Quantum-Classical Distribution Network Reconfiguration via Cycle-Edge Encoding

Distribution network reconfiguration (DNR) is a combinatorial optimization problem that seeks a low-loss network topology subject to topological and electrical operating constraints. In this work, we propose a two-stage quantum-classical method for DNR. First, an iterative linear-ramp Quantum Alternating Operator Ansat...

Nowar Alashkar, C. Kennedy, Phillip C. Lotshaw et al. · 0 citations

Preprint Sep 2026

Fast Relax-and-Round Unit Commitment with Topological Constraints

Recent developments in the US knowledge economy have created a significant growth in datacenter loads, with two major consequences for power generation. First, to compensate for growth in load, datacenters are encouraged to bring their own generating units. Second, in search of the remaining pools of dispatchable gener...

Evan J. R. Brody, C. Foltz, E. Tsybina et al. · 0 citations