Skip to search formSkip to main contentSkip to account menu

Multi-swarm optimization

Multi-swarm optimization is a variant of particle swarm optimization (PSO) based on the use of multiple sub-swarms instead of one (standard) swarm… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
As prior work, several multiple particle swarm optimizers with sensors, that is, MPSOS, MPSOIWS, MCPSOS, and HPSOS, were proposed… 
2018
2018
This paper presents optimal power flow technique namely multi swarm optimization with FACTS device. This method is used to solve… 
2015
2015
In this paper the analysis and comparison of very recent heuristic methods are made. It is clear, that any two optimization… 
2014
2014
  • H. Mic
  • 2014
  • Corpus ID: 114251759
This paper presents optimal power flow technique namely multi swarm optimization with FACTS device. This method is used to solve… 
2014
2014
In general, electrocardiogram (ECG) waveforms are aby noise and artifacts and it is essential to remove the noise in order to… 
2012
2012
Dynamic optimisation problems are problems where the search space does not remain constant over time. Evolutionary algorithms… 
2012
2012
In this paper, an Electoral Cooperative Particle Swarm Optimization (ECPSO) based on several subswarms is presented to solving… 
2012
2012
Population based heuristic search methods such as evolutionary algorithms (EA) and particle swarm optimization (PSO) methods are…