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.

Qi Xiong, Hongbo Zhang, Qiusheng Rong, Path Planning Based on Improved Particle Swarm Optimization for AUVs, Journal of Coastal Research, SPECIAL ISSUE NO. 111.

Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...

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 ...

Multi-swarm optimization (MSO) is a powerful variation of particle swarm optimization. Understanding how MSO works and how to implement it can be a valuable addition to your developer toolkit.

As a group, simple creatures following simple rules can display a surprising amount of complexity, efficiency, and even creativity. Such swarm intelligence is found throughout nature, but researchers ...