Abstract
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.
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Hamadicharef, B. (2011). Bibliometric Analysis of Particle Swarm Optimization (PSO) Research 2000-2010. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23896-3_50
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DOI: https://doi.org/10.1007/978-3-642-23896-3_50
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