Background Immune-mediated processes leading to childhood type 1 diabetes may begin in fetal life. We hypothesised that a ...

This letter proposes a machine learning-based linear programming model that quickly establishes the nonparametric prediction intervals of wind power by integrating extreme learning machine and ...

The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...

LLMs changed how enterprises build applications, but smaller AI models provide power and reduces total cost of ownership.

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...

Students at the University of Manchester in the UK have created a 30,500-piece LEGO model of the iconic Lovell Telescope to mark the 80th anniversary of the Jodrell Bank Observatory. Jodrell Bank was ...

Thus HiGHS can solve linear programming (LP) problems, convex quadratic programming (QP) problems, and mixed integer programming (MIP) problems. It is mainly written in C++, but also has some C. It ...

Star 4 Code Issues Pull requests Graph-Based (M)ILP Problem Specification Tool simulation emf pattern-matching model modeling gips ilp gt emoflon virtual-network-embedding pm ...

Struggling to choose a Mac launcher? Discover the real differences between Raycast Extensions and Alfred Workflows.

For programming, you'll probably want to stick to GPT-4o, because that model aced all our tests. But it might be interesting to cross-check your code across the different LLMs.