Particle swarm optimization (PSO) is a computer algorithm based on a mathematical model of the social interactions of swarms which was first described in 1995. Now, researchers in the UK and Jordan ...

Swarm robotics harnesses the collective behaviours observed in nature to coordinate large numbers of simple, autonomous agents, enabling them to accomplish complex tasks that would be arduous for a ...

SPECIAL ISSUE NO. 115. Advances in Water Resources, Environmental Protection, and Sustainable Development (SUMMER 2020), pp. 561-565 (5 pages) Published By: Coastal Education & Research Foundation, ...

Examples include bio-inspired optimization techniques such as genetic algorithms and particle swarm optimization, and geometry-inspired techniques such as Nelder-Mead (also known as simplex, or amoeba ...

Particle swarm optimization isn't usually seen as the first-choice technique for training a neural network but, as James McCaffrey demonstrates, it's a useful alternative. Particle swarm optimization ...