A novel algorithm for carrier acquisition is introduced which is a modified version of Binary search Algorithm. This modified algorithm is a hybrid of Binary search tree and Modified search tree. The proposed algorithm proves more helpful for carrier acquisition process as it is more accurate, low...
Output: We hope that this post helped you develop a better understanding of the concept of the Binary Search Algorithm and using it to find the first occurrence of the given number and its implementation in CPP. For any query, feel free to reach out to us via the comments secti...
The pigeon-inspired optimization algorithm is a category of a newly proposed swarm intelligence-based algorithm that belongs to the population-based solution technique. The MKP is a class of complex optimization problems that have many practical applicat
Two different types of engineering problems consisting of optimal shape design of heat bonder and topology optimization of structure are used to illustrate the high viability of the proposed algorithm in engineering optimization. 展开 关键词: modified binary differential evolution binary mutation heat ...
BCS: A Binary Cuckoo Search algorithm for feature selection Feature selection has been actively pursued in the last years, since to find the most discriminative set of features can enhance the recognition rates and ... D Rodrigues,LAM Pereira,TNS Almeida,... - IEEE International Symposium on Ci...
In that case, the sort should end. The new best case order for this algorithm is O(n), as if the array is already sorted, then no exchanges are made. You can figure out the code yourself! It only requires a few changes to the original bubble sort. ...
The position update is performed in steps 8 and 9 of Algorithm 1. Step 8 consists in a 3-parental uniform crossover for binary strings. In our work, we take that process as defined in [20]. It is important to mention that step 8 includes the use of Eq.3, which requires three param...
25.2 Searching Algorithms (Cont.) Binary Search -- Cont. Each iteration tests the middle value of the remaining portion of the array Called a subarray If the search key does not match the element, the algorithm eliminates half of the remaining elements The algorithm ends either by finding an ...
First, we present the greenfield and brownfield optimization objectives, then a mathematical problem formulation and the composition of the genetic algorithm. We evaluate our model against an Integer Programming baseline on a reconfiguration dataset with multiple equipment alternatives. The results ...
We employ exhaustive search algorithm to find the suitable tuning parameter. The exhaustive search calculates the matching function of every candidate in the search region. We employ the exhaustive search algorithm to find the suitable tuning parameter, ρ for the MPC design in our proposed model. ...