modified particle swarm optimization | A modified particle swarm optim

Keyword	CPC	PCC	Volume	Score	Length of keyword
modified particle swarm optimization	1.85	0.2	9147	60	36
modified	1.53	0.1	1841	15	8
particle	1.39	1	4776	68	8
swarm	0.81	0.4	4110	81	5
optimization	0.08	0.9	6131	71	12

Keyword	CPC	PCC	Volume	Score
modified particle swarm optimization	0.88	0.3	6251	29

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A modified particle swarm optimization using adaptive …
sciencedirect.com

https://www.sciencedirect.com/science/article/pii/S0957417420301780

WEBAug 15, 2020 · In order to avoid the premature convergence phenomenon of PSO and improve its performance on complex problems, a modified particle swarm … Author: Hao Liu, Xue-Wei Zhang, Liang-Ping Tu Publish Year: 2020

Author: Hao Liu, Xue-Wei Zhang, Liang-Ping Tu
Publish Year: 2020

DA: 100 PA: 66 MOZ Rank: 87

Modified Particle Swarm Optimization With Effective …
ieee.org

https://ieeexplore.ieee.org/document/9223637/

WEBOct 14, 2020 · In this article, a modified particle swarm optimization with effective guides (MPSOEG) is proposed, aiming to improve the algorithm's search performances in … Author: Aasam Abdul Karim, Nor Ashidi Mat Isa, Wei Hong Lim Publish Year: 2020

Author: Aasam Abdul Karim, Nor Ashidi Mat Isa, Wei Hong Lim
Publish Year: 2020

DA: 86 PA: 78 MOZ Rank: 7

Frontiers | Modified Particle Swarm Optimization …
frontiersin.org

https://www.frontiersin.org/articles/10.3389/fchem.2019.00485/full

WEBOur study shows how arbitrary and randomly generated small C n clusters ( n = 3–6, 10) can be transformed into the corresponding global minimum … Author: Gourhari Jana, Arka Mitra, Sudip Pan, Shamik Sural, Pratim K. Chattaraj, Pratim K. Chattaraj Publish Year: 2019

Author: Gourhari Jana, Arka Mitra, Sudip Pan, Shamik Sural, Pratim K. Chattaraj, Pratim K. Chattaraj
Publish Year: 2019

DA: 51 PA: 60 MOZ Rank: 66

A modified particle swarm optimization algorithm for a …
nature.com

https://www.nature.com/articles/s41598-023-45543-z

WEBOct 26, 2023 · Thus, a modified particle swarm optimization (MPSO) was proposed in this paper for the numerical calculation to overcome the characteristics of the …

DA: 66 PA: 73 MOZ Rank: 32

A modified hybrid particle swarm optimization based on …
springer.com

https://link.springer.com/article/10.1007/s00500-023-09332-0

WEBNov 6, 2023 · Abstract. Particle swarm optimization (PSO) is a simple yet efficient population-based algorithm that handles various optimization problems. Nevertheless, …

DA: 36 PA: 81 MOZ Rank: 14

Processes | Free Full-Text | A Modified Particle Swarm …
mdpi.com

https://www.mdpi.com/2227-9717/10/12/2579

WEBDec 3, 2022 · A Modified Particle Swarm Optimization Algorithm for Optimizing Artificial Neural Network in Classification Tasks. by. Koon Meng Ang. 1, Cher En Chow. 1, El-Sayed M. El-Kenawy. 2,*, Abdelaziz A. …

DA: 49 PA: 29 MOZ Rank: 28

A modified particle swarm optimization algorithm for …
nature.com

https://www.nature.com/articles/s41598-023-45543-z.pdf

WEBThus, a modified particle swarm optimization (MPSO) was proposed in this paper for the numerical calculation to overcome the characteristics of the optimization problem such …

DA: 31 PA: 37 MOZ Rank: 97

A Modified Particle Swarm Optimization With a Smart …
ieee.org

https://ieeexplore.ieee.org/document/9476009/

WEBJul 7, 2021 · Abstract: Particle swarm optimization (PSO) is a swarm intelligence-based metaheuristic algorithm inspired by the natural behavior of birds flocking or fish …

DA: 79 PA: 97 MOZ Rank: 40

A modified particle swarm optimizer | IEEE Conference …
ieee.org

https://ieeexplore.ieee.org/document/699146

WEBMay 9, 1998 · We introduce a new parameter, called inertia weight, into the original particle swarm optimizer. Simulations have been done to illustrate the significant and effective …

DA: 88 PA: 9 MOZ Rank: 76