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.

This After Effects tutorial shows how to create a dynamic particle explosion effect for music videos and visual edits. Learn how to use particles, motion, and compositing techniques to add high-impact ...

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary ...

Currently OptimizationManopt is significantly under-documented and isn't really showcased. There should be something that is bumped up to being a tutorial, i.e. an ...

Abstract: The reversible residual neural network (RRNN) model is a bidirectional neural network model, which has recently gained attention in the design of various control methods in turntable servo ...

This study develops a particle swarm optimization (PSO)-based assessment system for evaluating upper extremity and shoulder joint muscle strength with potential application to stroke rehabilitation.

Swarm robotics addresses the design, deployment, and analysis of large groups of robots that collaborate to perform tasks in a decentralized manner. Research in this field has predominantly relied on ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...