In this study, a two-stage feature selection model based on fuzzy neighborhood rough sets (FNRS) and binary whale optimization algorithm (BWOA) is developed. First, to denote the fuzziness of samples for mixed data with symbolic and numerical features, fuzzy neighborhood similarity is presented to...
Hussien AG, Hassanien AE, Houssein EH, Bhattacharyya S, Amin M (2019) S-shaped Binary Whale Optimization Algorithm for Feature Selection. In: Recent Trends in Signal and Image Processing. Springer, pp 79-87. doi:https://doi.org/10.1007/978-981-10-8863-6_9...
An advanced ACO algorithm for feature subset selection Neurocomputing, 147 (2015), pp. 271-279 View PDFView articleView in ScopusGoogle Scholar [25] Hussien A.G., Hassanien A.E., Houssein E.H., Bhattacharyya S., Amin M. S-shaped binary whale optimization algorithm for feature selection ...
The researchers have implemented binary whale optimization algorithm (BWOA) to solve the PBUCP [34]. The BWOA is used different transfer functions to map the continuous values into binary values. An improved teaching learning based optimization algorithm (TLBO) has been implemented to solve the PB...
To directly optimize the modeling process, the Whale Optimization Algorithm (WOA) can be implemented to fine-tune the hyperparameters of the Support Vector Machine (SVM) model. The detailed framework of WOA-SVM based wind turbine power curve modelling depicted in Figure 2 is explained below. ...
A motor fault diagnosis using hybrid binary differential evolution algorithm and whale optimization algorithm with storage space An important phase of a wind farm design is solving the wind farm layout optimization problem, for which evolutionary algorithms have been used frequently... CY Lee,TA Le,...
modified version of 'HPACK', a Java implementation of the HTTP/2 HPACK algorithmwritten by Twitter. It can be obtained at: * LICENSE: * licenseLICENSE.hpacktxt (Apache License 2.0) * HOMEPAGE: * https:/github.com/twitterhpack This product contains modified portion of 'Apache...
To illustrate the functionality and performance of the proposed binary whale optimization algorithm (bWOA), its results when applied on twenty-two benchmark functions, three engineering optimization problems and a real-world travelling salesman problem are found. Furthermore, the proposed bWOA is ...
In this research work, we study the ability of a nature-inspired algorithm called the Black Widow Optimization (BWO) algorithm to solve feature selection (FS) problems. We use the BWO as a base algorithm and propose a new algorithm called the Binary Black Widow Optimization (BBWO) algorithm ...
The first one is the New Binary version of the Grasshopper Optimization Algorithm (NBGOA) which can be used with any binary combinatorial optimization problem, and the other work is to use NBGOA as the swarm-based algorithm for feature selection problem. The rest of the paper is organized as...