Particle swarm optimization (PSO) is a technique for finding approximate solutions to difficult or impossible numeric optimization problems. In particular, PSO can be used to train a neural network.

An enhanced particle swarm optimization method for wind resistance in high-rise buildings is introduced, focusing on weight ...

Particle Swarm Optimization vs. Back-Propagation There are several reasons why you might want to consider using PSO rather than back-propagation to train a neural network. Based on my experience, back ...

Novel 'cuckoo search algorithm' beats particle swarm optimization in engineering design. ScienceDaily. Retrieved May 28, 2025 from www.sciencedaily.com / releases / 2010 / 05 / 100527213816.htm.

Use of a particle swarm optimization–analytic hierarchy process (PSO-AHP) and a comprehensive fuzzy evaluation of an expert questionnaire shows that these evaluation methods are highly applicable to ...

The increasing use in military and communications applications is expected to provide lucrative opportunities for market ...

Evolutionary optimization is more than ant-colony optimization algorithms , bee-colony optimization algorithms (BCO) or particle-swarm optimization (PSO). Swarm intelligence can be applied to ...

Particle Swarm Optimization: Drones modify movements based on their own and neighboring experiences. Ant Colony Optimization: Adapts inspiration from ants' path-finding methods.