103 search results - page 2 / 21 » Improved Particle Swarm Optimization with low-discrepancy se... |
GECCO
2007
Springer
13 years 9 months ago
2007
Springer
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
—The particle swarm optimizer (PSO) is a popular computing technique of swarm intelligence, known for its fast convergence speed and easy implementation. All the particles in the...
EVOW
2008
Springer
13 years 6 months ago
2008
Springer
Adaptation to dynamic optimization problems is currently receiving a growing interest as one of the most important applications of evolutionary algorithms. In this paper, a compoun...