Add to ORKGThe bee swarm algorithm is adapted for the solution of the problem of deconvolution of complex spectral contours into components. Comparison of biological concepts relating to the behaviour of bees in a colony and mathematical concepts relating to the quality of the obtained solutions is carried out (mean square error, random solutions in the each iteration). Model experiments, which have been realized on the example of a signal representing a sum of three Lorentz contours of various intensity and half-width, confirm the efficiency of the offered approach
This paper introduces a variant of Artificial Bee Colony algorithm and compares its results with a n...
In recent years, the researchers have witnessed the changes or transformations driven by the existen...
In this work, we disclose a non-invasive method for the monitoring and predicting of the swarming pr...
The bee swarm algorithm is adapted for the solution of the problem of deconvolution of complex spect...
© Published under licence by IOP Publishing Ltd. The approach based on the stochastic algorithm of p...
© Published under licence by IOP Publishing Ltd. An application of the artificial immune system meth...
Artificial bee colony (ABC) algorithm is a swarm intelligence algorithm, which simulates the foragin...
The minimum cross entropy thresholding (MCET) has been widely applied in image processing. In this...
Combinatorial optimization problems are problems that have a large number of discrete solutions and ...
Artificial Bee Colony (ABC) algorithm which is one of the most recently introduced optimization algo...
Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms....
Thetheory and design of adaptive finite impulse response (FIR) filters are welldeveloped and widely ...
Swarm intelligence is a research field that models the collective intelligence in swarms of insects ...
ABC algorithm or also called Artificial Bee Colony Algorithm is one of the popular algorithms of usi...
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and self-org...
This paper introduces a variant of Artificial Bee Colony algorithm and compares its results with a n...
In recent years, the researchers have witnessed the changes or transformations driven by the existen...
In this work, we disclose a non-invasive method for the monitoring and predicting of the swarming pr...
The bee swarm algorithm is adapted for the solution of the problem of deconvolution of complex spect...
© Published under licence by IOP Publishing Ltd. The approach based on the stochastic algorithm of p...
© Published under licence by IOP Publishing Ltd. An application of the artificial immune system meth...
Artificial bee colony (ABC) algorithm is a swarm intelligence algorithm, which simulates the foragin...
The minimum cross entropy thresholding (MCET) has been widely applied in image processing. In this...
Combinatorial optimization problems are problems that have a large number of discrete solutions and ...
Artificial Bee Colony (ABC) algorithm which is one of the most recently introduced optimization algo...
Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm-based algorithms....
Thetheory and design of adaptive finite impulse response (FIR) filters are welldeveloped and widely ...
Swarm intelligence is a research field that models the collective intelligence in swarms of insects ...
ABC algorithm or also called Artificial Bee Colony Algorithm is one of the popular algorithms of usi...
Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and self-org...
This paper introduces a variant of Artificial Bee Colony algorithm and compares its results with a n...
In recent years, the researchers have witnessed the changes or transformations driven by the existen...
In this work, we disclose a non-invasive method for the monitoring and predicting of the swarming pr...