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A contradiction-centered model for the emergence of swarm intelligence [PDF]
Scientific ReportsThe emergence phenomena of swarm intelligence exist widely in nature and human society. People have been exploring the root causes of the emergence of swarm intelligence and trying to establish general theories and models for the emergence of swarm ...
Wenpin Jiao
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Application of Swarm Intelligence Optimization Algorithms in Image Processing: A Comprehensive Review of Analysis, Synthesis, and Optimization [PDF]
Biomimetics, 2023 Image processing technology has always been a hot and difficult topic in the field of artificial intelligence. With the rise and development of machine learning and deep learning methods, swarm intelligence algorithms have become a hot research direction,
Minghai Xu +4 more
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EurasianUnionScientists, 2020 This book constitutes the proceedings of the 12th International Conference on Swarm Intelligence, ANTS 2020, held online -due to COVID-19- in Barcelona Spain, in October 2020. The 20 full papers presented , together with 8 short papers and 5 extended abstracts were carefully reviewed and selected from 50 submissions.
Dorigo, Marco +6 more
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Dynamical model and analysis of malware propagation on the dynamically-deployed heterogeneous honeynet [PDF]
ITM Web of Conferences, 2022 A novel malware propagation model is suggested in this paper. Contrary to existing models for malware spreading under the deployed honeynet, honeypots in our model can be dynamically deployed according to the overall infection size within the network ...
Li Hanlun, Ren Jianguo
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, 2021 Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.
Matthew N. O. Sadiku, Sarhan M. Musa
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Swarms and Swarm Intelligence [PDF]
Computer, 2007 Nature-inspired intelligent swarm technologies deals with complex problems that might be impossible to solve using traditional technologies and approaches. Swarm intelligence techniques (note the difference from intelligent swarms) are population-based stochastic methods used in combinatorial optimization problems in which the collective behavior of ...
Michael G. Hinchey +2 more
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Scientific Reports, 2023 Barcode-based tracking of individuals is revolutionizing animal behavior studies, but further progress hinges on whether in addition to determining an individual’s location, specific behaviors can be identified and monitored.
Tim Gernat +4 more
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Energies, 2022 This work presents an investigation into the use of swarm intelligence techniques for the control of the doubly fed induction generator under unbalanced grid voltages.
Kumeshan Reddy, Akshay Kumar Saha
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Системи обробки інформації, 2021 The article discusses the methods of swarm intelligence, namely, an improved method based on the ant colony optimization and the method of an artificial bee colony.
Г.В. Худов, І.А. Хижняк
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A Survey on the Optimization of Artificial Neural Networks Using Swarm Intelligence Algorithms
IEEE Access, 2023 Artificial Neural Networks (ANNs) are becoming increasingly useful in numerous areas as they have a myriad of applications. Prior to using ANNs, the network structure needs to be determined and the ANN needs to be trained.
Bibi Aamirah Shafaa Emambocus +2 more
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