WebApr 4, 2024 · In the first stage, The method uses the minimal redundancy-maximum new classification information method to remove 80 percent of irrelevant and redundant features. In the second stage, the best feature subset is selected using the designed information gain binary butterfly optimization algorithm. WebA hybrid filter-wrapper feature selection model using mRMR_Plus as a filter and grasshopper optimization algorithm as a wrapper that performs far better as compared to its counterparts in terms of the number of features selected and accuracy. In the era of machine learning, microarray data play a crucial role in identifying cancer diseases. The …
A hybrid feature selection method based on information theory …
WebApr 6, 2024 · The new method called optimization and extension of binary butterfly optimization approaches (OEbBOA) is tested with the K nearest neighbor classier in which twenty UCI datasets and seven recent algorithms are utilized to assess the performance of the OEbBOA algorithm. WebMar 17, 2024 · The authors proposed a novel binary butterfly optimization algorithm for information gain (IG-bBOA) to solve the lack of redundancy and feature relevancy issue of the s-shaped binary butterfly optimization algorithm (S-bBOA). Six routine UCI registry datasets were used to test the proposed FS method’s performance. how do i pin an icon
Bidirectional butterfly optimization algorithm and engineering ...
WebFeb 1, 2024 · Butterfly optimization algorithm (BOA) is a recent bio-inspired technique that emulates butterflies’ foraging which is based on their sense of smell to determine the location of nectar. BOA... WebApr 11, 2024 · The moth search algorithm (MS) is a relatively new metaheuristic optimization algorithm which mimics the phototaxis and Lévy flights of moths. Being an NP-hard problem, the 0–1 multidimensional knapsack problem (MKP) is a classical multi-constraint complicated combinatorial optimization problem with … WebS. Arora and P. Anand, Binary butterfly optimization approaches for feature selection, Expert Systems with Applications 116 (2024) 147–160. Crossref, ISI, Google Scholar; 10. M. M. Kabir, M. Shahjahan and K. Murase, A new hybrid ant colony optimization algorithm for feature selection, Expert Systems with Applications 39 (2012) 3747–3763. how do i pin aol to taskbar