Investigation on the Inversion of the Atmospheric Duct Using the Artificial Bee Colony Algorithm Based on Opposition-Based Learning

Investigation on the Inversion of the Atmospheric Duct Using the Artificial Bee Colony Algorithm Based on Opposition-Based Learning is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1155/2016/2749035

P2093author name stringChao Yang
Li-Xin Guo
Jian-Ke Zhang
P2860cites workA novel artificial bee colony algorithm based on modified search equation and orthogonal learning.Q50779166
Refractivity estimation from sea clutter: An invited reviewQ59122559
Tracking Refractivity from Clutter Using Kalman and Particle FiltersQ59122680
Estimation of Radio Refractivity From Radar Clutter Using Bayesian Monte Carlo AnalysisQ59122737
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P921main subjectartificial bee colony algorithmQ4801057
P6104maintained by WikiProjectWikiProject SoftwareQ15659621
P304page(s)1-10
P577publication date2016-01-01
P1433published inInternational Journal of Antennas and PropagationQ15750673
P1476titleInvestigation on the Inversion of the Atmospheric Duct Using the Artificial Bee Colony Algorithm Based on Opposition-Based Learning
P478volume2016

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