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A multi-population particle swarm optimization-based time series predictive technique
Kuranga, Cry
;
Muwani, Tendai S.
;
Ranganai, Njodzi
(
Elsevier
,
2023-12
)
Particle swarm optimization-based empirical mode decomposition predictive technique for nonstationary data
Kuranga, Cry
;
Ranganai, Njodzi
;
Muwani, Tendai S.
(
Springer
,
2022-12
)
Nonlinear regression in dynamic environments using particle swarm optimization
Kuranga, Cry
;
Pillay, Nelishia
(
Springer
,
2020-11
)
Movement patterns of a particle swarm in high dimensional spaces
Oldewage, Elre T.
;
Engelbrecht, Andries P.
;
Cleghorn, Christopher Wesley
(
Elsevier
,
2020-02
)
Time series forecasting using neural networks : are recurrent connections necessary?
Abdulkarim, Salihu Aish
;
Engelbrecht, Andries P.
(
Springer
,
2019-12
)
Degrees of stochasticity in particle swarm optimization
Oldewage, E.T.
;
Engelbrecht, A.P.
;
Cleghorn, Christopher Wesley
(
Springer
,
2019-12
)
Particle swarm optimization : understanding order-2 stability guarantees
Cleghorn, Christopher Wesley
(
Springer
,
2019-03
)
The importance of component-wise stochasticity in particle swarm optimization
Oldewage, E.T. (Elre)
;
Engelbrecht, Andries P.
;
Cleghorn, Christopher Wesley
(
Springer
,
2018-10
)
Self-adaptive quantum particle swarm optimization for dynamic environments
Pamparà, Gary
;
Engelbrecht, Andries P.
(
Springer
,
2018-10
)
Stability analysis of the multi-objective multi-guided particle swarm optimizer
Cleghorn, Christopher Wesley
;
Scheepers, Christiaan
;
Engelbrecht, Andries P.
(
Springer
,
2018-10
)
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