Evolutionary algorithms are generally used to find or generate the best individuals in a
population. Whenever these algorithms are applied to agent systems, they will lead to …

The artificial bee colony, ABC for short, algorithm is population-based iterative optimization
algorithm proposed for solving the optimization problems with continuously-structured …

A new biologically inspired derivative-free global optimization algorithm called Firebug
Swarm Optimization (FSO) inspired by reproductive swarming behaviour of Firebugs …

Multilevel thresholding is widely exploited in image processing, however, most of the
techniques are time-consuming. In this paper, we present a novel approach, multilevel …

Artificial bee colony algorithm, ABC for short, is a swarm-based optimization algorithm
proposed for solving continuous optimization problems. Due to its simple but effective …

The great amount of time series generated by machines has enormous value in intelligent
industry. Knowledge can be discovered from high-quality time series, and used for …

Change detection in remote sensing images turns out to play a significant role for the
preceding years. Change detection in synthetic aperture radar (SAR) images comprises …

Wireless sensor networks (WSNs) provide acceptable low cost and efficient deployable
solutions to execute the target tracking, checking and identification of substantial measures …

The Artificial Bee Colony (ABC) algorithm is a bionic intelligent optimization method. The
cloud model is a kind of uncertainty conversion model between a qualitative concept T˜ that …

Maintainability index (MI) is a software metric that offers measurements of the maintainability
before release of the software by facilitating several substantial features of the system. In …