Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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IEEE Transactions on Visualization and Computer Graphics
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Artificial Intelligence Review
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WISM '10 Proceedings of the 2010 International Conference on Web Information Systems and Mining - Volume 02
System design by constraint adaptation and differential evolution
IEEE Transactions on Evolutionary Computation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
dPSO-vis: topology-based visualization of discrete particle swarm optimization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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In the last decade, Particle Swarm Optimization (PSO) has grown in popularity as one important method for optimization, compared to recent Differential Evolution (DE) and Harmony Search (HS). In this paper a bibliometric study is presented, carried out on the PSO research literature from 2000 to 2010. The Thomson Reuters Web of Science (WoS) was used to collect publication records and analyzed to identify authorship, co-authorship, top journals, profile the distribution of citations and references. The study also includes the use keyword co-occurrence frequency from the articles' title, to help getting insights into PSO research trends and fields of applications.