… A simple Coverage Hole (CH) may degrade the performance and the reputation of any …
and complex especially for CH analysis and detection from mobile network data. Therefore, we …

… In the fifth step, each complex is evolved by the competitive complex evolution algorithm.
Later, in a process named shuffling of the complexes, all complexes are replaced in the array D…

… such as image edge detection, image encoding and image hole filling. CNN perform well for
… detection of corner points are estimated through the Differential evolution algorithm by using …

… such as image edge detection, image encoding and image hole filling. CNN perform well for
… detection of corner points are estimated through the Differential evolution algorithm by using …

… Since there are limited mobile nodes, the most appropriate and essential holes are identified
by firefly evolutionary algorithms for locating the mobile nodes within the specified holes. …

… algorithm with the external black hole attack, we will observe that the proposed algorithm can
also detect the external black hole … to the execution of the algorithm by all the nodes within …

According to the characteristics of maize disease spot performance in the image, this paper
designs two‐histogram segmentation method based on evolutionary algorithm, which …

… years to solve the coverage hole detection problem. In this … hole detection in WSNs using
a hybrid deep learning approach. First, a modified Lyapunov optimization (MLO) algorithm to …

… Terminology is imprecise and context-dependent, but in this book we settle on the term
evolutionary algorithm to refer to an algorithm that evolves a problem solution over many …