REMAIN. WE HAVE 40/29’S ABNER SOSA LIVE WITH WHAT COMES NEXT. >> WELL, THE DEBATE OVER SWARM ARROW CENTERED ON MORE THAN JUST DRONES. IT STRETCHED PAST MIDNIGHT, ENDING WITH THE CITY COUNCIL’S FINAL ...

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

Abstract: Particle swarm optimization (PSO) is an optimization algorithm that allows particles to find the optimal solution in the search space by simulating the foraging behavior of a flock of birds.

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

This paper presents an application of swarm intelligence to a hundred-year-old problem in mathematics, the Hausdorff moment problem (HMP), where one reconstructs a density function from its moments.

Abstract: This paper presents the application of fractional order operator to improve the control quality of multivariable systems. The basic ideas of this tuning method are based, in the first place, ...

System identification is the art and science of building mathematical models of dynamic systems from observed input-output data .This paper combines Particle Swarm Optimization Algorithm and LMS ...