Mixed-Integer Linear Programming Based Distribution Network Reconfiguration Model Considering Reliability Enhancement by Junpeng Zhu, Yi Zhou, Xiaofeng Dong, Li Zhou, Qiong Zhu, Yue Yuan

“…A mixed integer linear programming (MILP) model is established for distribution network reconfiguration problem, which can guarantee the global optimal solution with high solution efficiency. …”
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A Single Layer Neural Network Implemented by a <inline-formula><tex-math notation="LaTeX">$4\times 4$</tex-math></inline-formula> MZI-Based Optical Processor by Farhad Shokraneh, Simon Geoffroy-Gagnon, Mohammadreza Sanadgol Nezami, Odile Liboiron-Ladouceur

“…Implementing any linear transformation matrix through the optical channels of an on-chip reconfigurable multiport interferometer has been emerging as a promising technique for various fields of study, such as information processing and optical communication systems. …”
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Optimal Mobile IRS Deployment for Empowered 6G Networks by Adel Mounir Said, Michel Marot, Hossam Afifi, Hassine Moungla

“…It uses a Multi Integer Linear Programming (MILP) which gives optimal results but with a very long processing time. …”
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Low-Voltage Power Restoration Based on Fog Computing Load Forecasting and Data-Driven Wasserstein Distributionally Robust Optimization by Ruoxi Liu, Yifan Song, Yuan Gui, Hanqi Dai, Zhiyong Wang, Chengdong Yin, Qinglei Qin, Wenqin Yang, Yue Wang

“…Secondly, the low-voltage power restoration problem is overall formulated as a three-stage mixed integer program. Specifically, the master problem is essentially a mixed integer linear program, which is mainly intended for determining the reconfiguration of binary switch states, while the slave problem, aiming at minimizing load curtailment constrained by power flow balance along with inevitable load forecast errors, is cast as mixed integer type-1 Wasserstein distributionally robust optimization. …”
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