We formulate this problem as a nonlinear Generalized Disjunctive Program (GDP), which, following transformation, results in a large-scale mixed-integer nonlinear programming (MINLP ... There were ...

The problem is modeled through a multi-objective Mixed Integer Linear Programming (MILP ... of the proposed models in the sense of the relation of CPU time and the number constraints and variables of ...

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear) ...

Hardware-Software Co-Optimization for End-to-End Communication in Multi-Chip-Modules” was published by researchers at Georgia ...

Researchers from MIT, Yale, McGill University and others found that adapting the Sequential Monte Carlo algorithm can make AI ...

Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains ...

Traditional industrial automation has long followed a hardware-first approach, where programming is tightly coupled to ...

We ran a piece last year summarizing an IEEE study of programming-language popularity based on job listings. This article fostered conversation, including debates about whether the languages IEEE ...