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Clustering method of chaotic particle swarm optimization sensor networks based on multifactor conflict. (English. Russian original) Zbl 07514172

Russ. Phys. J. 64, No. 8, 1485-1497 (2021); translation from Izv. Vyssh. Uchebn. Zaved., Fiz. 64, No. 8, 99-108 (2021).
MSC:  81Q50 70F10
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A comprehensively improved particle swarm optimization algorithm to guarantee particle activity. (English. Russian original) Zbl 07513503

Russ. Phys. J. 64, No. 5, 866-875 (2021); translation from Izv. Vyssh. Uchebn. Zaved., Fiz. 64, No. 5, 94-101 (2021).
MSC:  70F45 49M41 65K10
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Identification of nonlinear joint interface parameters using instantaneous power flow balance approach. (English) Zbl 07471068

Awrejcewicz, Jan (ed.), Perspectives in dynamical systems II: mathematical and numerical approaches. Selected papers based on the presentations at the 15th international conference on dynamical systems – theory and applications, DSTA, Łódź, Poland, December 2–5, 2019. Cham: Springer. Springer Proc. Math. Stat. 363, 183-191 (2021).
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Parametric identification of nonlinear structures using particle swarm optimization based on power flow balance criteria. (English) Zbl 07457859

Awrejcewicz, Jan (ed.), Perspectives in dynamical systems III: control and stability. Selected papers based on the presentations at the 15th international conference on dynamical systems – theory and applications, DSTA, Łódź, Poland, December 2–5, 2019. Cham: Springer. Springer Proc. Math. Stat. 364, 249-257 (2021).
MSC:  93B30 93C10 90C59
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P system as a computing tool for embedded feature selection and classification method for microarray cancer data. (English) Zbl 07437064

Freund, Rudolf (ed.) et al., Membrane computing. 21st international conference, CMC 2020, virtual event, September 14–18, 2020. Revised selected papers. Cham: Springer. Lect. Notes Comput. Sci. 12687, 94-125 (2021).
MSC:  68Q07
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A hybrid metaheuristic algorithm for truss structure domain’s optimization problem. (English) Zbl 1469.90167

Karim, Samsul Ariffin Abdul (ed.), Theoretical, modelling and numerical simulations toward Industry 4.0. Singapore: Springer. Stud. Syst. Decis. Control 319, 21-34 (2021).
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Fuzzy dynamic parameter adaptation for particle swarm optimization of modular granular neural networks applied to time series prediction. (English) Zbl 07392105

Melin, Patricia (ed.) et al., Recent advances of hybrid intelligent systems based on soft computing. Cham: Springer. Stud. Comput. Intell. 915, 189-204 (2021).
MSC:  68-XX 90Cxx
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Comparison of genetic algorithm and particle swarm optimization of ensemble neural networks for complex time series prediction. (English) Zbl 07392097

Melin, Patricia (ed.) et al., Recent advances of hybrid intelligent systems based on soft computing. Cham: Springer. Stud. Comput. Intell. 915, 51-77 (2021).
MSC:  68Txx 90Cxx
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Rank reduction and diagonalization of sensing matrix for millimeter wave hybrid precoding using particle swarm optimization. (English) Zbl 07387488

Kulkarni, Anand J. (ed.) et al., Constraint handling in metaheuristics and applications. Singapore: Springer. 269-284 (2021).
MSC:  68T20 90C59
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