Visual Studio Magazine

Multi-Swarm Optimization for Neural Networks Using C#

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. Many ...
Visual Studio Magazine

Using Multi-Swarm Training on Your Neural Networks

Now that you know how to work with multi-swarm optimization, it's time to take it up a level and see how to train your network to use it. By far the most common way to train a neural network is to use ...
IEEE

Particle Swarm Optimization based Multi-Step Prediction for Start-up Switching Sequence Optimization of NPC-DBSRC

Abstract: Direct minimum current trajectory (MCT) control can induce beat-frequency oscillation during start-up process in dual-bridge series-resonant converter (DBSRC). To address this issue, this ...
JSTOR Daily

MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM: CASE STUDY BABOLDASHT DISTRICT OF ISFAHAN, IRAN

Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 (8 pages) Abstract: Land use planning seeks to divide land, the most valuable resource in the hands of ...
The Engineer

Particle robots work as a swarm to push objects

Researchers in the US have demonstrated how a swarm of interconnected particle robots can move in sync and perform simple tasks such as pushing objects. Developed by engineers at MIT, Columbia, ...