An iteration contains traversing all pixels in a certain order. The iteration continues until the FOM converges to a stable value. An upper bound on the total number of iterations and a minimum change of FOM are
The exponential growth of IoT networks, and consequently wireless networks, is driven by today’s ultraconnected society’s demand for Internet access with an ever-increasing array of devices. This surge underscores the need for research on disjoint trees in wireless networks, highlighting their centr...
Right rotation of an array means to rotate the elements of the array to their right side by a given number of times and for the number which are present at the edge they will move to the first index in their right rotation by assuming an array in a cycle form. We will implement a...
In the basic Artificial Bee Colony algorithm, the positions of honey sources are randomly initialized, resulting in an uneven distribution of honey sources in the entire target space. However, chaotic sequences based on chaotic theory possess the properties of traversing the entire space and dynamism...
When a hydropower unit operates in a sediment-laden river, the sediment accelerates hydro-turbine wear, leading to efficiency loss or even shutdown. Therefore, wear fault diagnosis is crucial for its safe and stable operation. A hydro-turbine wear fault
Establishing an optimal datacenter selection policy within the cloud environment is paramount to maximize the performance of the cloud services. Service broker policy governs the selection of datacenters for user requests. In our research, we introduce an innovative approach incorporating the genetic algo...
BFS is an algorithm for traversing or searching tree or graph data structures. It starts at the tree root and explores the neighbor nodes first, before moving to the next level neighbors. Basically, we start from the initial game state, try to move every block and generate the new game sta...
DM-PhyClus looks directly for sets of sequences resulting from quick transmission chains, thus also improving interpretability of clusters. Phylogenetic inference and clustering Bayesian phylogenetic inference is commonly used in the clustering of sequencing data, mainly because it read- ily provides an ...
solutions. The exploration stage of a metaheuristic algorithm holds paramount importance as it plays a crucial role in preventing the algorithm from getting stuck in local optima and elevating the quality of solutions. By traversing diverse regions of the search space, the algorithm can discover ...
(A ⋅ B) ⋅ C is clearly more computationally efficient. The matrix-chain multiplication problem can be formulated as follows: given a chain of n matrices, <M1, M2,…, Mn>, where Mi is a vi−1× vi matrix for i = 1 to n, we want to find an order of multiplication that mi...