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 Date: May 28, 2010 Source: Inderscience Summary: The familiar early summer call of the cuckoo has inspired ...

Researchers have suggested to use a hybrid version of the so-called salp swarm algorithm ... 94.27% for particle swarm optimization (PSO), 91.63% for standard SSA, 92.70% for the Grey Wolf ...

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 ...