Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...
Abstract: Mask data preparation (MDP) is a part of the mask data process for fabricating semiconductors, and its importance has commonly been neglected. This paper proposes an integer linear ...
Abstract: We study an efficient algorithm to solve the distributionally robust optimization (DRO) problem, which has recently attracted attention as a new paradigm for decision making in uncertain ...
Transformers play a crucial role in power systems, and once they malfunction, it will seriously affect the power supply security of the grid. Therefore, accurate fault diagnosis of transformers is of ...
Quantum annealing emerges as a promising approach for tackling complex scheduling problems such as the resource-constrained project scheduling problem (RCPSP). This study represents the first ...
Resource allocation of wide-area internet networks is inherently a combinatorial optimization problem that if solved quickly, could provide near real-time adaptive control of internet-protocol traffic ...
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Oxygenated species obtained from the selective chemo-catalytic refunctionalization of lignocellulosic materials and rationally formulated mixtures thereof can be tailored to the needs of advanced ...
Gasoline is one of the largest-volume products of the oil industry that yields 60%–70% of the total refinery revenues. This work presents a novel continuous-time mixed-integer nonlinear programming ...