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.

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 ...

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

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 ...

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 ...