A.I.’s First Big Math Breakthrough Is Not What It Seems

Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...
IEEE

Solving the Mask Data Preparation Scheduling Problem Using Meta-Heuristics

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 ...
IEEE

Consensus Distributionally Robust Optimization With Phi-Divergence

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 ...
Frontiers

ILP-based resource optimization realized by quantum annealing for optical wide-area communication networks—A framework for solving combinatorial problems of a real-world ...

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 ...
C&EN

Model-Based Formulation of Biofuel Blends by Simultaneous Product and Pathway Design

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 ...
C&EN

Optimizing Gasoline Recipes and Blending Operations Using Nonlinear Blend Models

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 ...