The new TikTok USDS Joint Venture LLC has been created, and a new US-based algorithm will be put into place, which leave users with the choice to stick around or find an alternative. On December 18, ...

Ant colony optimization (ACO) is a class of heuristic algorithms proposed to solve optimization problems. The idea was inspired by the behavior of real ants, related to their ability to find the ...

To use the solver 'cia', the packages relies on pycombina. If you want to use this solver, install pycombina using: Install gcc Set up and activate a fresh Python virtual environment (Python >= 3.7 ...

usage: run_ckm.py [-h] [--ofile OFILE] [--n_rep N_REP] [--m_iter M_ITER] [--tol TOL] dfile cfile k Run COP-Kmeans algorithm positional arguments: dfile data file cfile constraint file k number of ...

Abstract: This paper presents a model predictive control (MPC) approach for multivehicle formation taking into account collision avoidance and velocity limitation with reduced computational burden.

ABSTRACT: Support vector regression (SVR) and computational fluid dynamics (CFD) techniques are applied to predict the performance of an automotive torque converter in the design process of turbine ...

We introduce a new algorithm MaxCliqueWeight for identifying a maximum weight clique in a weighted graph, and its variant MaxCliqueDynWeight with dynamically varying bounds. This algorithm uses an ...

If you’re a romance reader, or you’ve been in the vicinity of a bookstore anytime over the past couple of years, you’re probably familiar with this trend. Go to the display with the sign reading some ...

When the sociologist Diane Vaughan came up with the term “the normalization of deviance,” she was referring to NASA administrators’ disregard of the flaw that caused the Challenger space shuttle to ...

Abstract: The branch-and-bound optimization algorithm for mixed-integer model predictive control (MI-MPC) solves several convex quadratic program relaxations, but often the solutions are discarded ...