… convergence of the black hole algorithm, this paper proposed an opposition-based learning
black hole (OBH) algorithm and utilized it … Evolutionary algorithms are a class of optimization …

… for the evolutionary algorithm that generates ellipsoid detectors. … that our algorithm
generates good ellipsoid detectors. … detectors that could not be generated, so there were “holes“. …

… In this paper, an approach based on ANFIS algorithm combined with PSO for optimization
is proposed and applied to detect and prevent the black hole attack. The input parameters of …

… Evolution of the objective function for the square section with centred-hole case with the
top cavity. (a) Evolution of objective function S 1 ; (b) Evolution of objective function S 2 . …

… In this study, three evolutionary techniques, genetic algorithms (GA), covariance matrix
adaptation evolutionary strategy (CMAES), and differential evolution (DE) algorithms, were …

… mature detectors, it means current detectors can recognize this abnormal data. Conversely,
if ns i is not covered by any mature detectors, it means the ns i falls into the hole and this hole …

… holes and certain non-circular shaped holes. Nonetheless, in these applications, a hole was
detected with an XFEM-circular hole … occurs for many evolutionary algorithms. Convergence …

… analyze contemporary Multiobjective Evolutionary Algorithm (MOEA) research and associated
MOPs. Under the umbrella of a priori, progressive, and a posteriori algorithms, all known …

… the work of WSNEHA algorithm by balancing the load of entire network. In second
contribution ie, an energy-aware balanced energy consuming and hole alleviating algorithm (EA-…