@inbook{d5eaece359e44ad89c6cef6566d72984,
title = "Particle filter optimization: A brief introduction",
abstract = "In this paper, we provide a brief introduction to particle filter optimization (PFO). The particle filter (PF) theory has revolutionized probabilistic state filtering for dynamic systems, while the PFO algorithms, which are developed within the PF framework, have not attracted enough attention from the community of optimization. The purpose of this paper is threefold. First, it aims to provide a succinct introduction of the PF theory which forms the theoretical foundation for all PFO algorithms. Second, it reviews PFO algorithms under the umbrella of the PF theory. Lastly, it discusses promising research directions on the interface of PF methods and swarm intelligence techniques.",
keywords = "Optimization, Particle filter, Swarm intelligence",
author = "Bin Liu and Shi Cheng and Yuhui Shi",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.",
year = "2016",
doi = "10.1007/978-3-319-41000-5_10",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "95--104",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}