Fuzzy control mathematical modelling method based on dynamic particle swarm optimisation training

Runxia Gao; Houping Jiang

doi:10.1504/ijica.2021.113617

Fuzzy control mathematical modelling method based on dynamic particle swarm optimisation training

International Journal of Innovative Computing and Applications ◽

10.1504/ijica.2021.113617 ◽

2021 ◽

Vol 12 (1) ◽

pp. 48

Author(s):

Runxia Gao ◽

Houping Jiang

Keyword(s):

Fuzzy Control ◽

Mathematical Modelling ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Modelling Method

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Fuzzy control mathematical modelling method based on dynamic particle swarm optimisation training

International Journal of Innovative Computing and Applications ◽

10.1504/ijica.2021.10036071 ◽

2021 ◽

Vol 12 (1) ◽

pp. 48

Author(s):

Runxia Gao ◽

Houping Jiang

Keyword(s):

Fuzzy Control ◽

Mathematical Modelling ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Modelling Method

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Solving the Maximum Edge Disjoint Path Problem Using a Modified Lagrangian Particle Swarm Optimisation Hybrid

European Journal of Operational Research ◽

10.1016/j.ejor.2021.01.009 ◽

2021 ◽

Author(s):

Jake Weiner ◽

Andreas T. Ernst ◽

Xiaodong Li ◽

Yuan Sun ◽

Kalyanmoy Deb

Keyword(s):

Particle Swarm ◽

Particle Swarm Optimisation ◽

Disjoint Path ◽

Lagrangian Particle ◽

Edge Disjoint ◽

Edge Disjoint Path

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An integrated heuristic and mathematical modelling method to optimize vehicle maintenance schedule under single dead-end track parking and service level agreement

Computers & Operations Research ◽

10.1016/j.cor.2021.105261 ◽

2021 ◽

pp. 105261

Author(s):

Murat Elhüseyni ◽

Ali Tamer Ünal

Keyword(s):

Mathematical Modelling ◽

Service Level Agreement ◽

Service Level ◽

Maintenance Schedule ◽

Modelling Method ◽

Dead End

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Weight regularisation in particle swarm optimisation neural network training

2014 IEEE Symposium on Swarm Intelligence ◽

10.1109/sis.2014.7011773 ◽

2014 ◽

Cited By ~ 7

Author(s):

Anna Rakitianskaia ◽

Andries Engelbrecht

Keyword(s):

Neural Network ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Neural Network Training ◽

Network Training

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Frequencies Wave Sound Particle Swarm Optimisation (FPSO)

Journal of Experimental & Theoretical Artificial Intelligence ◽

10.1080/0952813x.2021.1924870 ◽

2021 ◽

pp. 1-32

Author(s):

Ahmad K. Al Hwaitat ◽

Rizik M. H. Al-Sayyed ◽

Imad K. M. Salah ◽

Saher Manaseer ◽

Hamed S. Al-Bdour ◽

...

Keyword(s):

Particle Swarm ◽

Particle Swarm Optimisation

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Particle Swarm Optimisation Variants and Its Hybridisation Ratios for Generating Cost-Effective Educational Course Timetables

SN Computer Science ◽

10.1007/s42979-021-00652-2 ◽

2021 ◽

Vol 2 (4) ◽

Author(s):

Thatchai Thepphakorn ◽

Saisumpan Sooncharoen ◽

Pupong Pongcharoen

Keyword(s):

Particle Swarm ◽

Cost Effective ◽

Particle Swarm Optimisation ◽

Educational Course

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KDT-SPSO: A multimodal particle swarm optimisation algorithm based on k-d trees for palm tree detection

Applied Soft Computing ◽

10.1016/j.asoc.2021.107156 ◽

2021 ◽

Vol 103 ◽

pp. 107156

Author(s):

Zi Yan Chen ◽

Iman Yi Liao ◽

Amr Ahmed

Keyword(s):

Particle Swarm ◽

Particle Swarm Optimisation ◽

Palm Tree ◽

Tree Detection ◽

Optimisation Algorithm ◽

Particle Swarm Optimisation Algorithm

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Cascaded controller for a standalone microgrid-connected inverter based on triple-action controller and particle swarm optimisation

IET Generation Transmission & Distribution ◽

10.1049/iet-gtd.2019.1641 ◽

2020 ◽

Vol 14 (17) ◽

pp. 3389-3399

Author(s):

Omar M. Salim ◽

Amgad Aboraya ◽

Shawky I. Arafa

Keyword(s):

Particle Swarm ◽

Particle Swarm Optimisation

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Optimisation of full-toroidal continuously variable transmission in conjunction with fixed ratio mechanism using particle swarm optimisation

Vehicle System Dynamics ◽

10.1080/00423114.2013.765588 ◽

2013 ◽

Vol 51 (5) ◽

pp. 671-683 ◽

Cited By ~ 8

Author(s):

Mojtaba Delkhosh ◽

Mahmoud Saadat Foumani

Keyword(s):

Particle Swarm ◽

Fixed Ratio ◽

Continuously Variable Transmission ◽

Particle Swarm Optimisation ◽

Variable Transmission

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Standard Particle Swarm Optimisation 2011 at CEC-2013: A baseline for future PSO improvements

2013 IEEE Congress on Evolutionary Computation ◽

10.1109/cec.2013.6557848 ◽

2013 ◽

Cited By ~ 106

Author(s):

Mauricio Zambrano-Bigiarini ◽

Maurice Clerc ◽

Rodrigo Rojas

Keyword(s):

Particle Swarm ◽

Particle Swarm Optimisation

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