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- Provides strong and accessible theoretical bases to swarm intelligence algorithms, from particle optimization to bioinspired and meta-heuristic algorithms
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- Presents emerging meta-heuristic algorithms and applications
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- Provides overviews on Python and R based computing libraries for swarm intelligence and meta-heuristic algorithms
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- Presenting real-world applications, especially on Industry, Medicine and Biology.
Wellington Pinheiro dos Santos is an Associate Professor at the Department of Biomedical Engineering at the Federal University of Pernambuco (UFPE), Brazil. He is a DSc in Electrical Engineering at the Federal University of Campina Grande (UFCG, 2009), and a MSc (2003) and BSc (2001) in Electrical and Computer Engineering at UFPE, Brazil. His main research interests are pattern recognition, machine learning, intelligent diagnosis systems, evolutionary computing, applied neuroscience, and artificial intelligence in health.
Juliana Carneiro Gomes is a Biomedical Engineer from the Federal University of Pernambuco (UFPE, 2016), with a sandwich period at Mercer University, USA. She worked as a researcher at the Advanced Imaging Algorithms and Instrumentation Laboratory at Johns Hopkins University, USA. She is a Master in Biomedical Engineering (UFPE, 2019) and a PhD student in Computer Engineering at the University of Pernambuco (UPE). She is a Professor at the Physics Department at UFPE.
Valter Augusto de Freitas Barbosa has a PhD in Mechanical Engineering (2022), a Master in Biomedical Engineering (2017) and a Biomedical Engineer from the Federal University of Pernambuco (2014), Brazil, with a sandwich period at the Universite de Technologie de Compiegne, France. He is currently an Assistant Professor at the Federal Rural University of Pernambuco. His research interests are focused on pattern recognition, artificial intelligence and deep neural networks.
Title: Swarm Intelligence: Trends and Applications
Author:
ISBN: 9781032039961
Binding:
Publisher: Taylor & Francis Ltd
Publication Date: 2022-11-17
Number of Pages: 250
Weight: 0.4101 kg
